Spanish_Analysis.ipynb

{
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   "source": [
    "Hypothesis:\n",
    "- Compiling lyrics will render a useful set of 250-300 most commonly used Spanish words\n",
    "- The assumption is that the lyrics corpus will have limitations, namely that it does not include nouns that are esential for traveling - ordering food, transportation, greetings, etc. These topics will need to be learned in addition to the list if traveling to a Spanish speaking country, but not necessarily relevant to having a conversation with a Spanish speaker.\n",
    "- The lyrics corpus will have a greater percent of words related to love, sex, and relationships, as that its often the topic of songs. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step 7: Word Corpora Comparison"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Preprocess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Spanish</th>\n",
       "      <th>English</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>el,la</td>\n",
       "      <td>the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>de</td>\n",
       "      <td>of, from</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>que</td>\n",
       "      <td>that, which</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>y</td>\n",
       "      <td>and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>a</td>\n",
       "      <td>to, at</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   Rank Spanish      English\n",
       "0     1   el,la          the\n",
       "1     2      de     of, from\n",
       "2     3     que  that, which\n",
       "3     4       y          and\n",
       "4     5       a       to, at"
      ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Word form</th>\n",
       "      <th>Occurrences</th>\n",
       "      <th>Part of speech</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Translation</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>de</td>\n",
       "      <td>9999518</td>\n",
       "      <td>preposition</td>\n",
       "      <td>1</td>\n",
       "      <td>of; from</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>la</td>\n",
       "      <td>6277560</td>\n",
       "      <td>article, pronoun</td>\n",
       "      <td>2</td>\n",
       "      <td>the; third person feminine singular pronoun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>que</td>\n",
       "      <td>4681839</td>\n",
       "      <td>conjunction</td>\n",
       "      <td>3</td>\n",
       "      <td>that, which</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>el</td>\n",
       "      <td>4569652</td>\n",
       "      <td>article</td>\n",
       "      <td>4</td>\n",
       "      <td>the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>en</td>\n",
       "      <td>4234281</td>\n",
       "      <td>preposition</td>\n",
       "      <td>5</td>\n",
       "      <td>in, on</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  Word form  Occurrences    Part of speech  Rank  \\\n",
       "0        de      9999518       preposition     1   \n",
       "1        la      6277560  article, pronoun     2   \n",
       "2       que      4681839       conjunction     3   \n",
       "3        el      4569652           article     4   \n",
       "4        en      4234281       preposition     5   \n",
       "\n",
       "                                   Translation  \n",
       "0                                     of; from  \n",
       "1  the; third person feminine singular pronoun  \n",
       "2                                  that, which  \n",
       "3                                          the  \n",
       "4                                       in, on  "
      ]
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       "      <th>Part of speech</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Translation</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>el / la</td>\n",
       "      <td>2037803</td>\n",
       "      <td>article</td>\n",
       "      <td>1</td>\n",
       "      <td>the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>de</td>\n",
       "      <td>1319834</td>\n",
       "      <td>preposition</td>\n",
       "      <td>2</td>\n",
       "      <td>of, from</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>que</td>\n",
       "      <td>662653</td>\n",
       "      <td>conjunction</td>\n",
       "      <td>3</td>\n",
       "      <td>that, which</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>y</td>\n",
       "      <td>562162</td>\n",
       "      <td>conjunction</td>\n",
       "      <td>4</td>\n",
       "      <td>and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a</td>\n",
       "      <td>529899</td>\n",
       "      <td>preposition</td>\n",
       "      <td>5</td>\n",
       "      <td>to, at</td>\n",
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      "text/plain": [
       "     Lemma  Occurrences Part of speech  Rank  Translation\n",
       "0  el / la      2037803        article     1          the\n",
       "1       de      1319834    preposition     2     of, from\n",
       "2      que       662653    conjunction     3  that, which\n",
       "3        y       562162    conjunction     4          and\n",
       "4        a       529899    preposition     5       to, at"
      ]
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>que</th>\n",
       "      <td>12746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>8393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>de</th>\n",
       "      <td>7579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>me</th>\n",
       "      <td>7518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no</th>\n",
       "      <td>7444</td>\n",
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      "text/plain": [
       "         0\n",
       "que  12746\n",
       "y     8393\n",
       "de    7579\n",
       "me    7518\n",
       "no    7444"
      ]
     },
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   ],
   "source": [
    "import pandas as pd\n",
    "spanish = pd.read_excel('Spanish_Key.xlsx',sheet_name='Sheet1')\n",
    "text_corp_1 = pd.read_excel('Text_Corpus_1.xlsx',sheet_name='Sheet1')\n",
    "text_corp_2 = pd.read_excel('Text_Corpus_2.xlsx',sheet_name='Sheet1')\n",
    "lyrics = pd.read_excel('Top_words_clean.xlsx',sheet_name='Sheet1') \n",
    "display(spanish.head())\n",
    "display(text_corp_1.head())\n",
    "display(text_corp_2.head())\n",
    "display(lyrics.head())"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {
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   "outputs": [
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>que</th>\n",
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       "      <th>y</th>\n",
       "      <td>8393</td>\n",
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       "    <tr>\n",
       "      <th>de</th>\n",
       "      <td>7579</td>\n",
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       "      <th>me</th>\n",
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       "      <th>la</th>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>6536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>te</th>\n",
       "      <td>5987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>el</th>\n",
       "      <td>5553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>en</th>\n",
       "      <td>4064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yo</th>\n",
       "      <td>3689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tu</th>\n",
       "      <td>3689</td>\n",
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       "    <tr>\n",
       "      <th>mi</th>\n",
       "      <td>3243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lo</th>\n",
       "      <td>3106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>se</th>\n",
       "      <td>2845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>un</th>\n",
       "      <td>2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es</th>\n",
       "      <td>2569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>por</th>\n",
       "      <td>2506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>si</th>\n",
       "      <td>2332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>con</th>\n",
       "      <td>2116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tú</th>\n",
       "      <td>1743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amor</th>\n",
       "      <td>1709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>como</th>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>los</th>\n",
       "      <td>1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ya</th>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quiero</th>\n",
       "      <td>1407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>una</th>\n",
       "      <td>1330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>las</th>\n",
       "      <td>1294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>para</th>\n",
       "      <td>1282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ti</th>\n",
       "      <td>1274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ando</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quieras</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sí</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>caso</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dar</th>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuera</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chi</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vuelvo</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vai</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>buscando</th>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pensando</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parece</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ayer</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>misma</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dejo</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zion</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bajo</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>forma</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sueño</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>final</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>noches</th>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vale</th>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real</th>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aun</th>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sido</th>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mar</th>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vi</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>an</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hecho</th>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>364 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              0\n",
       "que       12746\n",
       "y          8393\n",
       "de         7579\n",
       "me         7518\n",
       "no         7444\n",
       "la         6789\n",
       "a          6536\n",
       "te         5987\n",
       "el         5553\n",
       "en         4064\n",
       "yo         3689\n",
       "tu         3689\n",
       "mi         3243\n",
       "lo         3106\n",
       "se         2845\n",
       "un         2700\n",
       "es         2569\n",
       "por        2506\n",
       "si         2332\n",
       "con        2116\n",
       "tú         1743\n",
       "amor       1709\n",
       "como       1562\n",
       "los        1481\n",
       "ya         1459\n",
       "quiero     1407\n",
       "una        1330\n",
       "las        1294\n",
       "para       1282\n",
       "ti         1274\n",
       "...         ...\n",
       "ando         87\n",
       "quieras      87\n",
       "sí           87\n",
       "caso         87\n",
       "dar          87\n",
       "day          86\n",
       "fuera        86\n",
       "chi          86\n",
       "vuelvo       86\n",
       "vai          86\n",
       "buscando     86\n",
       "pensando     85\n",
       "parece       85\n",
       "ayer         85\n",
       "misma        85\n",
       "dejo         84\n",
       "zion         84\n",
       "bajo         84\n",
       "forma        84\n",
       "sueño        84\n",
       "final        84\n",
       "noches       83\n",
       "vale         83\n",
       "real         83\n",
       "aun          83\n",
       "sido         82\n",
       "mar          82\n",
       "vi           81\n",
       "an           81\n",
       "hecho        81\n",
       "\n",
       "[364 rows x 1 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "lyrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>19</th>\n",
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       "      <th>20</th>\n",
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       "      <th>21</th>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
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       "      <th>339</th>\n",
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       "      <th>340</th>\n",
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       "      <th>341</th>\n",
       "      <td>chi</td>\n",
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       "      <th>342</th>\n",
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       "      <th>343</th>\n",
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       "      <th>344</th>\n",
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       "      <th>345</th>\n",
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       "      <th>346</th>\n",
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       "      <th>363</th>\n",
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       "</div>"
      ],
      "text/plain": [
       "       Lyrics\n",
       "0         que\n",
       "1           y\n",
       "2          de\n",
       "3          me\n",
       "4          no\n",
       "5          la\n",
       "6           a\n",
       "7          te\n",
       "8          el\n",
       "9          en\n",
       "10         yo\n",
       "11         tu\n",
       "12         mi\n",
       "13         lo\n",
       "14         se\n",
       "15         un\n",
       "16         es\n",
       "17        por\n",
       "18         si\n",
       "19        con\n",
       "20         tú\n",
       "21       amor\n",
       "22       como\n",
       "23        los\n",
       "24         ya\n",
       "25     quiero\n",
       "26        una\n",
       "27        las\n",
       "28       para\n",
       "29         ti\n",
       "..        ...\n",
       "334      ando\n",
       "335   quieras\n",
       "336        sí\n",
       "337      caso\n",
       "338       dar\n",
       "339       day\n",
       "340     fuera\n",
       "341       chi\n",
       "342    vuelvo\n",
       "343       vai\n",
       "344  buscando\n",
       "345  pensando\n",
       "346    parece\n",
       "347      ayer\n",
       "348     misma\n",
       "349      dejo\n",
       "350      zion\n",
       "351      bajo\n",
       "352     forma\n",
       "353     sueño\n",
       "354     final\n",
       "355    noches\n",
       "356      vale\n",
       "357      real\n",
       "358       aun\n",
       "359      sido\n",
       "360       mar\n",
       "361        vi\n",
       "362        an\n",
       "363     hecho\n",
       "\n",
       "[364 rows x 1 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyrics_clean = lyrics.reset_index()\n",
    "lyrics_clean.drop([0], axis=1, inplace=True)\n",
    "lyrics_clean.columns = ['Lyrics']\n",
    "lyrics_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "lyrics_corpus_1 = pd.DataFrame()\n",
    "lyrics_corpus_2 = pd.DataFrame()\n",
    "\n",
    "if lyrics_clean.shape[0] > 363: # len(df) > 10 would also work\n",
    "    lyrics_corpus_1 = lyrics_clean[:250]\n",
    "    lyrics_corpus_2 = lyrics_clean[250:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>19</th>\n",
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       "      <th>22</th>\n",
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       "      <th>23</th>\n",
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       "      <th>24</th>\n",
       "      <td>ya</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>quiero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>una</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>las</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>para</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ti</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>todas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>deseo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>santos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>mano</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>estamos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>just</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>somos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>pasado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>alguien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>llorar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>dura</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>olvidar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>digas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>mira</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>dímelo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>antes</td>\n",
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       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>igual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>sentir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>vivo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>volver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>deja</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>abajo</td>\n",
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       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>dentro</td>\n",
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       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>luz</td>\n",
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       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>adiós</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>enamorado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>usted</td>\n",
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       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>creo</td>\n",
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       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>baila</td>\n",
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       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>come</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Lyrics\n",
       "0          que\n",
       "1            y\n",
       "2           de\n",
       "3           me\n",
       "4           no\n",
       "5           la\n",
       "6            a\n",
       "7           te\n",
       "8           el\n",
       "9           en\n",
       "10          yo\n",
       "11          tu\n",
       "12          mi\n",
       "13          lo\n",
       "14          se\n",
       "15          un\n",
       "16          es\n",
       "17         por\n",
       "18          si\n",
       "19         con\n",
       "20          tú\n",
       "21        amor\n",
       "22        como\n",
       "23         los\n",
       "24          ya\n",
       "25      quiero\n",
       "26         una\n",
       "27         las\n",
       "28        para\n",
       "29          ti\n",
       "..         ...\n",
       "220      todas\n",
       "221      deseo\n",
       "222     santos\n",
       "223       mano\n",
       "224    estamos\n",
       "225       just\n",
       "226      somos\n",
       "227     pasado\n",
       "228    alguien\n",
       "229     llorar\n",
       "230       dura\n",
       "231    olvidar\n",
       "232      digas\n",
       "233       mira\n",
       "234     dímelo\n",
       "235      antes\n",
       "236      igual\n",
       "237     sentir\n",
       "238       vivo\n",
       "239     volver\n",
       "240       deja\n",
       "241      abajo\n",
       "242     dentro\n",
       "243        luz\n",
       "244      adiós\n",
       "245  enamorado\n",
       "246      usted\n",
       "247       creo\n",
       "248      baila\n",
       "249       come\n",
       "\n",
       "[250 rows x 1 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyrics_corpus_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lyrics</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>que</td>\n",
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       "      <th>10</th>\n",
       "      <td>yo</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>tu</td>\n",
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       "      <th>12</th>\n",
       "      <td>mi</td>\n",
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       "      <th>13</th>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>se</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>un</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>es</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>por</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>si</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>con</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>tú</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>amor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>como</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>los</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>quiero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>una</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>las</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>para</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ti</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>he</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>siempre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>noche</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>aquí</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>tan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>hoy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>eso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>contigo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>conmigo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>ven</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>va</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>vas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>otra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>dime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>o</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>este</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>puedo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>fue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>na</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>nunca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>loco</td>\n",
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       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>tiene</td>\n",
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       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>mejor</td>\n",
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       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>ese</td>\n",
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       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>cuerpo</td>\n",
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       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>tiempo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>siento</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>gusta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>día</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Lyrics\n",
       "0       que\n",
       "1         y\n",
       "2        de\n",
       "3        me\n",
       "4        no\n",
       "5        la\n",
       "6         a\n",
       "7        te\n",
       "8        el\n",
       "9        en\n",
       "10       yo\n",
       "11       tu\n",
       "12       mi\n",
       "13       lo\n",
       "14       se\n",
       "15       un\n",
       "16       es\n",
       "17      por\n",
       "18       si\n",
       "19      con\n",
       "20       tú\n",
       "21     amor\n",
       "22     como\n",
       "23      los\n",
       "24       ya\n",
       "25   quiero\n",
       "26      una\n",
       "27      las\n",
       "28     para\n",
       "29       ti\n",
       "..      ...\n",
       "70       he\n",
       "71  siempre\n",
       "72    noche\n",
       "73     aquí\n",
       "74      tan\n",
       "75      hoy\n",
       "76      eso\n",
       "77  contigo\n",
       "78  conmigo\n",
       "79      ven\n",
       "80       va\n",
       "81      vas\n",
       "82     otra\n",
       "83      ser\n",
       "84     dime\n",
       "85        o\n",
       "86     este\n",
       "87    puedo\n",
       "88      fue\n",
       "89       na\n",
       "90    nunca\n",
       "91     loco\n",
       "92    tiene\n",
       "93    mejor\n",
       "94      ese\n",
       "95   cuerpo\n",
       "96   tiempo\n",
       "97   siento\n",
       "98    gusta\n",
       "99      día\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyrics_corpus_100 = pd.DataFrame()\n",
    "lyrics_corpus_3 = pd.DataFrame()\n",
    "\n",
    "if lyrics_clean.shape[0] > 363: # len(df) > 10 would also work\n",
    "    lyrics_corpus_100 = lyrics_clean[:100]\n",
    "    lyrics_corpus_3 = lyrics_clean[100:]\n",
    "    \n",
    "lyrics_corpus_100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Spanish</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>el,la</td>\n",
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       "      <th>9</th>\n",
       "      <td>haber</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>por</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>con</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>estar</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>tener</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>todo</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>pero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>más</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>hacer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>o</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>poder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>decir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>este</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>otro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ese</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>si</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>aparecer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>conseguir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>comenzar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>varios</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>posible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>servir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>general</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>sacar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>necesitar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>relación</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>cinco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>cuerpo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>nadie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>mantener</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>hecho</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>ante</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>principio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>resultar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>igual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>señor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>pueblo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>tarde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>segundo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>leer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>caer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>cambiar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>ojo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>calle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>presentar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>blanco</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Spanish\n",
       "0        el,la\n",
       "1           de\n",
       "2          que\n",
       "3            y\n",
       "4            a\n",
       "5           en\n",
       "6           un\n",
       "7          ser\n",
       "8           no\n",
       "9        haber\n",
       "10         por\n",
       "11         con\n",
       "12        para\n",
       "13        como\n",
       "14       estar\n",
       "15       tener\n",
       "16        todo\n",
       "17        pero\n",
       "18         más\n",
       "19       hacer\n",
       "20           o\n",
       "21       poder\n",
       "22       decir\n",
       "23        este\n",
       "24          ir\n",
       "25        otro\n",
       "26         ese\n",
       "27          si\n",
       "28          ya\n",
       "29         ver\n",
       "..         ...\n",
       "79    aparecer\n",
       "80   conseguir\n",
       "81    comenzar\n",
       "82      varios\n",
       "83     posible\n",
       "84      servir\n",
       "85     general\n",
       "86       sacar\n",
       "87   necesitar\n",
       "88    relación\n",
       "89       cinco\n",
       "90      cuerpo\n",
       "91       nadie\n",
       "92    mantener\n",
       "93       hecho\n",
       "94        ante\n",
       "95   principio\n",
       "96    resultar\n",
       "97       igual\n",
       "98       señor\n",
       "99      pueblo\n",
       "100      tarde\n",
       "101    segundo\n",
       "102       leer\n",
       "103       caer\n",
       "104    cambiar\n",
       "105        ojo\n",
       "106      calle\n",
       "107  presentar\n",
       "108     blanco\n",
       "\n",
       "[250 rows x 1 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spanish.drop(['Rank', 'English'], axis=1, inplace=True)\n",
    "spanish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <td>le</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>me</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <th>70</th>\n",
       "      <td>mismo</td>\n",
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       "    <tr>\n",
       "      <th>78</th>\n",
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       "      <th>97</th>\n",
       "      <td>país</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>según</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>menos</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Word form\n",
       "0         de\n",
       "1         la\n",
       "2        que\n",
       "3         el\n",
       "4         en\n",
       "5          y\n",
       "6          a\n",
       "7        los\n",
       "8         se\n",
       "9        del\n",
       "10       las\n",
       "11        un\n",
       "12       por\n",
       "13       con\n",
       "14        no\n",
       "15       una\n",
       "16        su\n",
       "17      para\n",
       "18        es\n",
       "19        al\n",
       "20        lo\n",
       "21      como\n",
       "22       más\n",
       "23         o\n",
       "24      pero\n",
       "25       sus\n",
       "26        le\n",
       "27        ha\n",
       "28        me\n",
       "29        si\n",
       "..       ...\n",
       "70     mismo\n",
       "71       ese\n",
       "72     ahora\n",
       "73      cada\n",
       "74         e\n",
       "75      vida\n",
       "76      otro\n",
       "77   después\n",
       "78        te\n",
       "79     otros\n",
       "80    aunque\n",
       "81       esa\n",
       "82       eso\n",
       "83      hace\n",
       "84      otra\n",
       "85  gobierno\n",
       "86       tan\n",
       "87   durante\n",
       "88   siempre\n",
       "89       día\n",
       "90     tanto\n",
       "91      ella\n",
       "92      tres\n",
       "93        sí\n",
       "94      dijo\n",
       "95      sido\n",
       "96      gran\n",
       "97      país\n",
       "98     según\n",
       "99     menos\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text_corp_1.drop(['Rank', 'Occurrences', 'Part of speech', 'Translation'], axis=1, inplace=True)\n",
    "text_corp_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>25</th>\n",
       "      <td>o</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>poder</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>decir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>este / esta</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ir</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>71</th>\n",
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       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>bien</td>\n",
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       "      <th>73</th>\n",
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       "      <td>deber</td>\n",
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       "    <tr>\n",
       "      <th>75</th>\n",
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       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>poner</td>\n",
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       "    <tr>\n",
       "      <th>77</th>\n",
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       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>tanto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>hombre</td>\n",
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       "    <tr>\n",
       "      <th>80</th>\n",
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       "      <th>81</th>\n",
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       "      <td>ahora</td>\n",
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       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>parte</td>\n",
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       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>después</td>\n",
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       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>vida</td>\n",
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       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>quedar</td>\n",
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       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>siempre</td>\n",
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       "      <td>cada</td>\n",
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       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>seguir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>menos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>nuevo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>encontrar</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lemma\n",
       "0       el / la\n",
       "1            de\n",
       "2           que\n",
       "3             y\n",
       "4             a\n",
       "5            en\n",
       "6            un\n",
       "7           ser\n",
       "8            se\n",
       "9            no\n",
       "10        haber\n",
       "11          por\n",
       "12          con\n",
       "13           su\n",
       "14         para\n",
       "15         como\n",
       "16        estar\n",
       "17        tener\n",
       "18           le\n",
       "19           lo\n",
       "20           lo\n",
       "21         todo\n",
       "22         pero\n",
       "23          más\n",
       "24        hacer\n",
       "25            o\n",
       "26        poder\n",
       "27        decir\n",
       "28  este / esta\n",
       "29           ir\n",
       "..          ...\n",
       "70          día\n",
       "71          uno\n",
       "72         bien\n",
       "73         poco\n",
       "74        deber\n",
       "75     entonces\n",
       "76        poner\n",
       "77         cosa\n",
       "78        tanto\n",
       "79       hombre\n",
       "80      parecer\n",
       "81      nuestro\n",
       "82          tan\n",
       "83        donde\n",
       "84        ahora\n",
       "85        parte\n",
       "86      después\n",
       "87         vida\n",
       "88       quedar\n",
       "89      siempre\n",
       "90        creer\n",
       "91       hablar\n",
       "92       llevar\n",
       "93        dejar\n",
       "94         nada\n",
       "95         cada\n",
       "96       seguir\n",
       "97        menos\n",
       "98        nuevo\n",
       "99    encontrar\n",
       "\n",
       "[100 rows x 1 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text_corp_2.drop(['Rank', 'Occurrences', 'Part of speech', 'Translation'], axis=1, inplace=True)\n",
    "text_corp_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Words</th>\n",
       "      <th>Frequency</th>\n",
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       "      <th>19</th>\n",
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       "      <td>2116</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>tú</td>\n",
       "      <td>1743</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>amor</td>\n",
       "      <td>1709</td>\n",
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       "      <th>22</th>\n",
       "      <td>como</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>los</td>\n",
       "      <td>1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ya</td>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>quiero</td>\n",
       "      <td>1407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>una</td>\n",
       "      <td>1330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>las</td>\n",
       "      <td>1294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>para</td>\n",
       "      <td>1282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ti</td>\n",
       "      <td>1274</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>ando</td>\n",
       "      <td>87</td>\n",
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       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>quieras</td>\n",
       "      <td>87</td>\n",
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       "      <th>336</th>\n",
       "      <td>sí</td>\n",
       "      <td>87</td>\n",
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       "      <th>337</th>\n",
       "      <td>caso</td>\n",
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       "      <th>338</th>\n",
       "      <td>dar</td>\n",
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       "      <th>339</th>\n",
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       "      <th>340</th>\n",
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       "      <th>341</th>\n",
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       "      <th>342</th>\n",
       "      <td>vuelvo</td>\n",
       "      <td>86</td>\n",
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       "      <th>343</th>\n",
       "      <td>vai</td>\n",
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       "      <th>344</th>\n",
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       "      <th>345</th>\n",
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       "      <th>346</th>\n",
       "      <td>parece</td>\n",
       "      <td>85</td>\n",
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       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>ayer</td>\n",
       "      <td>85</td>\n",
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       "      <th>348</th>\n",
       "      <td>misma</td>\n",
       "      <td>85</td>\n",
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       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>dejo</td>\n",
       "      <td>84</td>\n",
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       "      <th>350</th>\n",
       "      <td>zion</td>\n",
       "      <td>84</td>\n",
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       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>bajo</td>\n",
       "      <td>84</td>\n",
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       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>forma</td>\n",
       "      <td>84</td>\n",
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       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>sueño</td>\n",
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       "      <th>354</th>\n",
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       "      <td>84</td>\n",
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       "      <th>355</th>\n",
       "      <td>noches</td>\n",
       "      <td>83</td>\n",
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       "      <th>358</th>\n",
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       "      <th>359</th>\n",
       "      <td>sido</td>\n",
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      ],
      "text/plain": [
       "        Words  Frequency\n",
       "0         que      12746\n",
       "1           y       8393\n",
       "2          de       7579\n",
       "3          me       7518\n",
       "4          no       7444\n",
       "5          la       6789\n",
       "6           a       6536\n",
       "7          te       5987\n",
       "8          el       5553\n",
       "9          en       4064\n",
       "10         yo       3689\n",
       "11         tu       3689\n",
       "12         mi       3243\n",
       "13         lo       3106\n",
       "14         se       2845\n",
       "15         un       2700\n",
       "16         es       2569\n",
       "17        por       2506\n",
       "18         si       2332\n",
       "19        con       2116\n",
       "20         tú       1743\n",
       "21       amor       1709\n",
       "22       como       1562\n",
       "23        los       1481\n",
       "24         ya       1459\n",
       "25     quiero       1407\n",
       "26        una       1330\n",
       "27        las       1294\n",
       "28       para       1282\n",
       "29         ti       1274\n",
       "..        ...        ...\n",
       "334      ando         87\n",
       "335   quieras         87\n",
       "336        sí         87\n",
       "337      caso         87\n",
       "338       dar         87\n",
       "339       day         86\n",
       "340     fuera         86\n",
       "341       chi         86\n",
       "342    vuelvo         86\n",
       "343       vai         86\n",
       "344  buscando         86\n",
       "345  pensando         85\n",
       "346    parece         85\n",
       "347      ayer         85\n",
       "348     misma         85\n",
       "349      dejo         84\n",
       "350      zion         84\n",
       "351      bajo         84\n",
       "352     forma         84\n",
       "353     sueño         84\n",
       "354     final         84\n",
       "355    noches         83\n",
       "356      vale         83\n",
       "357      real         83\n",
       "358       aun         83\n",
       "359      sido         82\n",
       "360       mar         82\n",
       "361        vi         81\n",
       "362        an         81\n",
       "363     hecho         81\n",
       "\n",
       "[364 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyrics_chart = lyrics.reset_index()\n",
    "lyrics_chart.columns = ['Words', 'Frequency']\n",
    "lyrics_chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "lyrics_plot_1 = pd.DataFrame()\n",
    "lyrics_plot_2 = pd.DataFrame()\n",
    "\n",
    "if lyrics_chart.shape[0] > 363: # len(df) > 10 would also work\n",
    "    lyrics_plot_1 = lyrics_chart[:50]\n",
    "    lyrics_plot_2 = lyrics_chart[50:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>19</th>\n",
       "      <td>con</td>\n",
       "      <td>2116</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>tú</td>\n",
       "      <td>1743</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>amor</td>\n",
       "      <td>1709</td>\n",
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       "      <th>22</th>\n",
       "      <td>como</td>\n",
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       "      <th>23</th>\n",
       "      <td>los</td>\n",
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       "      <th>24</th>\n",
       "      <td>ya</td>\n",
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       "      <th>25</th>\n",
       "      <td>quiero</td>\n",
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       "      <th>27</th>\n",
       "      <td>las</td>\n",
       "      <td>1294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>para</td>\n",
       "      <td>1282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ti</td>\n",
       "      <td>1274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>pa</td>\n",
       "      <td>1238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>cuando</td>\n",
       "      <td>1075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>le</td>\n",
       "      <td>1057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>sin</td>\n",
       "      <td>1006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>pero</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>al</td>\n",
       "      <td>959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>más</td>\n",
       "      <td>959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>soy</td>\n",
       "      <td>956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>todo</td>\n",
       "      <td>915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>vida</td>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>it</td>\n",
       "      <td>812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>coro</td>\n",
       "      <td>764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>ella</td>\n",
       "      <td>742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>eres</td>\n",
       "      <td>737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>porque</td>\n",
       "      <td>728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>tus</td>\n",
       "      <td>725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>su</td>\n",
       "      <td>699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>hay</td>\n",
       "      <td>672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>voy</td>\n",
       "      <td>668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>del</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Words  Frequency\n",
       "0      que      12746\n",
       "1        y       8393\n",
       "2       de       7579\n",
       "3       me       7518\n",
       "4       no       7444\n",
       "5       la       6789\n",
       "6        a       6536\n",
       "7       te       5987\n",
       "8       el       5553\n",
       "9       en       4064\n",
       "10      yo       3689\n",
       "11      tu       3689\n",
       "12      mi       3243\n",
       "13      lo       3106\n",
       "14      se       2845\n",
       "15      un       2700\n",
       "16      es       2569\n",
       "17     por       2506\n",
       "18      si       2332\n",
       "19     con       2116\n",
       "20      tú       1743\n",
       "21    amor       1709\n",
       "22    como       1562\n",
       "23     los       1481\n",
       "24      ya       1459\n",
       "25  quiero       1407\n",
       "26     una       1330\n",
       "27     las       1294\n",
       "28    para       1282\n",
       "29      ti       1274\n",
       "30      pa       1238\n",
       "31  cuando       1075\n",
       "32      le       1057\n",
       "33     sin       1006\n",
       "34    pero        985\n",
       "35      al        959\n",
       "36     más        959\n",
       "37     soy        956\n",
       "38    todo        915\n",
       "39    vida        862\n",
       "40      it        812\n",
       "41    coro        764\n",
       "42    ella        742\n",
       "43    eres        737\n",
       "44  porque        728\n",
       "45     tus        725\n",
       "46      su        699\n",
       "47     hay        672\n",
       "48     voy        668\n",
       "49     del        661"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyrics_plot_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa5876a5a20>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lyrics_plot_1.plot(x=\"Words\", y=\"Frequency\", kind=\"bar\", figsize=(20,10), title='Top 50 Common Spanish Words from Lyrics')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparison Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bag of Words Model:\n",
    "\n",
    "Text must be converted to numbers for machine learning, or feature extraction. The bag-of-words model is used here because it describes the occurrence of words within the lyrics corpus. The word order is unimportant to this analysis, since we simply want to know the most commonly used Spanish words, or word frequency. Our goal is to find the top 200-300 words, so we can learn them first as an efficient way to gain a grasp of the 20% of all Spanish words that are spoken 80% of the time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Compare and contrast Bag of Words lists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "def preprocess(data):\n",
    "    reviews_tokens = []\n",
    "    stopwords=[]\n",
    "    for review in data:\n",
    "        review = review.lower() #Convert to lower-case words\n",
    "        raw_word_tokens = re.findall(r'(?:\\w+)', review,flags = re.UNICODE) #remove pontuaction\n",
    "        word_tokens = [w for w in raw_word_tokens if not w in stopwords] # do not add stop words\n",
    "        reviews_tokens.append(word_tokens)\n",
    "    return reviews_tokens #return all tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def construct_bag_of_words(data):\n",
    "    corpus = preprocess(data)\n",
    "    bag_of_words = {}\n",
    "    word_count = 0\n",
    "    for sentence in corpus:\n",
    "        for word in sentence:\n",
    "            if word not in bag_of_words: # do not allow repetitions\n",
    "                bag_of_words[word] = word_count #set indexes\n",
    "                word_count+=1\n",
    "            \n",
    "    return bag_of_words #index of letters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "bag_of_words_250 = construct_bag_of_words(lyrics_corpus_1['Lyrics']) #made the words into a dictionary\n",
    "bag_of_words_100 = construct_bag_of_words(lyrics_corpus_100['Lyrics'])\n",
    "bag_of_spanish_key = construct_bag_of_words(spanish['Spanish'])\n",
    "bag_of_corp_1 = construct_bag_of_words(text_corp_1['Word form'])\n",
    "bag_of_corp_2 = construct_bag_of_words(text_corp_2['Lemma'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 6,\n",
       " 'abajo': 241,\n",
       " 'adiós': 244,\n",
       " 'ahora': 62,\n",
       " 'ahí': 190,\n",
       " 'al': 35,\n",
       " 'algo': 164,\n",
       " 'alguien': 228,\n",
       " 'alma': 146,\n",
       " 'amarte': 207,\n",
       " 'amo': 141,\n",
       " 'amor': 21,\n",
       " 'antes': 235,\n",
       " 'aquí': 73,\n",
       " 'arriba': 218,\n",
       " 'así': 58,\n",
       " 'aunque': 100,\n",
       " 'baila': 248,\n",
       " 'bailando': 169,\n",
       " 'bailar': 181,\n",
       " 'bebé': 208,\n",
       " 'beso': 116,\n",
       " 'besos': 122,\n",
       " 'bien': 65,\n",
       " 'boca': 147,\n",
       " 'cada': 110,\n",
       " 'cama': 139,\n",
       " 'camino': 219,\n",
       " 'cara': 209,\n",
       " 'casa': 199,\n",
       " 'cielo': 150,\n",
       " 'come': 249,\n",
       " 'como': 22,\n",
       " 'con': 19,\n",
       " 'conmigo': 78,\n",
       " 'contigo': 77,\n",
       " 'corazón': 61,\n",
       " 'coro': 41,\n",
       " 'cosas': 184,\n",
       " 'creo': 247,\n",
       " 'cuando': 31,\n",
       " 'cuerpo': 95,\n",
       " 'cómo': 144,\n",
       " 'da': 145,\n",
       " 'dale': 161,\n",
       " 'dame': 165,\n",
       " 'de': 2,\n",
       " 'decir': 183,\n",
       " 'deja': 240,\n",
       " 'del': 49,\n",
       " 'dentro': 242,\n",
       " 'desde': 138,\n",
       " 'deseo': 221,\n",
       " 'dice': 172,\n",
       " 'digas': 232,\n",
       " 'digo': 171,\n",
       " 'dile': 180,\n",
       " 'dime': 84,\n",
       " 'dios': 196,\n",
       " 'dolor': 179,\n",
       " 'donde': 137,\n",
       " 'dos': 108,\n",
       " 'doy': 177,\n",
       " 'duele': 185,\n",
       " 'dura': 230,\n",
       " 'día': 99,\n",
       " 'dímelo': 234,\n",
       " 'e': 160,\n",
       " 'el': 8,\n",
       " 'ella': 42,\n",
       " 'en': 9,\n",
       " 'enamorado': 245,\n",
       " 'entre': 151,\n",
       " 'era': 176,\n",
       " 'eres': 43,\n",
       " 'es': 16,\n",
       " 'esa': 115,\n",
       " 'ese': 94,\n",
       " 'eso': 76,\n",
       " 'esta': 50,\n",
       " 'estamos': 224,\n",
       " 'estar': 135,\n",
       " 'estas': 159,\n",
       " 'este': 86,\n",
       " 'esto': 128,\n",
       " 'estoy': 59,\n",
       " 'está': 101,\n",
       " 'estás': 134,\n",
       " 'falta': 203,\n",
       " 'feliz': 143,\n",
       " 'fue': 88,\n",
       " 'ganas': 156,\n",
       " 'gente': 167,\n",
       " 'gusta': 98,\n",
       " 'ha': 111,\n",
       " 'hace': 104,\n",
       " 'hacer': 118,\n",
       " 'hago': 182,\n",
       " 'hasta': 69,\n",
       " 'hay': 47,\n",
       " 'he': 70,\n",
       " 'hombre': 193,\n",
       " 'hoy': 75,\n",
       " 'igual': 236,\n",
       " 'importa': 191,\n",
       " 'in': 57,\n",
       " 'it': 40,\n",
       " 'just': 225,\n",
       " 'la': 5,\n",
       " 'labios': 170,\n",
       " 'lado': 132,\n",
       " 'las': 27,\n",
       " 'le': 32,\n",
       " 'les': 154,\n",
       " 'llorar': 229,\n",
       " 'lo': 13,\n",
       " 'loca': 127,\n",
       " 'loco': 91,\n",
       " 'los': 23,\n",
       " 'luz': 243,\n",
       " 'ma': 206,\n",
       " 'mal': 187,\n",
       " 'mala': 217,\n",
       " 'mami': 107,\n",
       " 'mano': 223,\n",
       " 'manos': 155,\n",
       " 'mas': 63,\n",
       " 'mañana': 212,\n",
       " 'me': 3,\n",
       " 'mejor': 93,\n",
       " 'mente': 204,\n",
       " 'mi': 12,\n",
       " 'miedo': 205,\n",
       " 'mil': 186,\n",
       " 'mira': 233,\n",
       " 'mirada': 195,\n",
       " 'mis': 56,\n",
       " 'mismo': 174,\n",
       " 'momento': 168,\n",
       " 'mucho': 178,\n",
       " 'mujer': 140,\n",
       " 'mundo': 102,\n",
       " 'muy': 121,\n",
       " 'más': 36,\n",
       " 'mí': 55,\n",
       " 'mía': 133,\n",
       " 'na': 89,\n",
       " 'nada': 60,\n",
       " 'nadie': 106,\n",
       " 'nena': 215,\n",
       " 'ni': 66,\n",
       " 'no': 4,\n",
       " 'noche': 72,\n",
       " 'nos': 54,\n",
       " 'nuestro': 194,\n",
       " 'nunca': 90,\n",
       " 'o': 85,\n",
       " 'ojos': 124,\n",
       " 'olvidar': 231,\n",
       " 'otra': 82,\n",
       " 'otro': 112,\n",
       " 'outro': 130,\n",
       " 'pa': 30,\n",
       " 'para': 28,\n",
       " 'pasado': 227,\n",
       " 'paso': 162,\n",
       " 'pero': 34,\n",
       " 'piel': 136,\n",
       " 'poco': 192,\n",
       " 'por': 17,\n",
       " 'porque': 44,\n",
       " 'precoro': 126,\n",
       " 'puede': 200,\n",
       " 'puedo': 87,\n",
       " 'puente': 163,\n",
       " 'pues': 175,\n",
       " 'que': 0,\n",
       " 'quien': 103,\n",
       " 'quiere': 114,\n",
       " 'quieres': 109,\n",
       " 'quiero': 25,\n",
       " 'quisiera': 197,\n",
       " 'qué': 68,\n",
       " 'sabe': 216,\n",
       " 'sabes': 105,\n",
       " 'santos': 222,\n",
       " 'se': 14,\n",
       " 'sea': 152,\n",
       " 'sentir': 237,\n",
       " 'ser': 83,\n",
       " 'si': 18,\n",
       " 'siempre': 71,\n",
       " 'siento': 97,\n",
       " 'sigo': 157,\n",
       " 'sigue': 198,\n",
       " 'sin': 33,\n",
       " 'sol': 158,\n",
       " 'sola': 153,\n",
       " 'solo': 53,\n",
       " 'somos': 226,\n",
       " 'son': 119,\n",
       " 'soy': 37,\n",
       " 'su': 46,\n",
       " 'sus': 142,\n",
       " 'sé': 64,\n",
       " 'sólo': 129,\n",
       " 'tal': 201,\n",
       " 'también': 117,\n",
       " 'tan': 74,\n",
       " 'tanto': 123,\n",
       " 'te': 7,\n",
       " 'tenerte': 210,\n",
       " 'tengo': 51,\n",
       " 'ti': 29,\n",
       " 'tiempo': 96,\n",
       " 'tiene': 92,\n",
       " 'tienes': 125,\n",
       " 'toda': 211,\n",
       " 'todas': 220,\n",
       " 'todo': 38,\n",
       " 'todos': 149,\n",
       " 'tu': 11,\n",
       " 'tus': 45,\n",
       " 'tú': 20,\n",
       " 'un': 15,\n",
       " 'una': 26,\n",
       " 'uno': 213,\n",
       " 'usted': 246,\n",
       " 'va': 80,\n",
       " 'vamo': 214,\n",
       " 'vamos': 131,\n",
       " 'vas': 81,\n",
       " 'ven': 79,\n",
       " 'veo': 189,\n",
       " 'ver': 113,\n",
       " 'verdad': 148,\n",
       " 'verse': 120,\n",
       " 'verso': 52,\n",
       " 'verte': 202,\n",
       " 'vez': 67,\n",
       " 'vida': 39,\n",
       " 'vivir': 188,\n",
       " 'vivo': 238,\n",
       " 'volver': 239,\n",
       " 'voy': 48,\n",
       " 'y': 1,\n",
       " 'ya': 24,\n",
       " 'yo': 10,\n",
       " 'à': 173,\n",
       " 'él': 166}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_250 #returns a dictionary of the top 250 words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'ahora',\n",
       " 'ahí',\n",
       " 'algo',\n",
       " 'antes',\n",
       " 'aquí',\n",
       " 'así',\n",
       " 'aunque',\n",
       " 'bien',\n",
       " 'cada',\n",
       " 'casa',\n",
       " 'como',\n",
       " 'con',\n",
       " 'cuando',\n",
       " 'cuerpo',\n",
       " 'cómo',\n",
       " 'de',\n",
       " 'decir',\n",
       " 'dentro',\n",
       " 'desde',\n",
       " 'donde',\n",
       " 'dos',\n",
       " 'día',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'en',\n",
       " 'entre',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'estar',\n",
       " 'este',\n",
       " 'esto',\n",
       " 'gente',\n",
       " 'hacer',\n",
       " 'hasta',\n",
       " 'hombre',\n",
       " 'hoy',\n",
       " 'igual',\n",
       " 'la',\n",
       " 'lado',\n",
       " 'le',\n",
       " 'lo',\n",
       " 'mano',\n",
       " 'me',\n",
       " 'mejor',\n",
       " 'mi',\n",
       " 'mil',\n",
       " 'mismo',\n",
       " 'momento',\n",
       " 'mucho',\n",
       " 'mujer',\n",
       " 'mundo',\n",
       " 'muy',\n",
       " 'más',\n",
       " 'nada',\n",
       " 'nadie',\n",
       " 'ni',\n",
       " 'no',\n",
       " 'noche',\n",
       " 'nos',\n",
       " 'nuestro',\n",
       " 'nunca',\n",
       " 'o',\n",
       " 'otro',\n",
       " 'para',\n",
       " 'pero',\n",
       " 'poco',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'pues',\n",
       " 'que',\n",
       " 'quien',\n",
       " 'qué',\n",
       " 'se',\n",
       " 'sentir',\n",
       " 'ser',\n",
       " 'si',\n",
       " 'siempre',\n",
       " 'sin',\n",
       " 'solo',\n",
       " 'su',\n",
       " 'sólo',\n",
       " 'tal',\n",
       " 'también',\n",
       " 'tan',\n",
       " 'tanto',\n",
       " 'te',\n",
       " 'tiempo',\n",
       " 'todo',\n",
       " 'un',\n",
       " 'uno',\n",
       " 'ver',\n",
       " 'verdad',\n",
       " 'vez',\n",
       " 'vida',\n",
       " 'vivir',\n",
       " 'volver',\n",
       " 'y',\n",
       " 'ya',\n",
       " 'yo',\n",
       " 'él'}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_250.keys() & bag_of_spanish_key.keys() #105 commonalities between lyrics and key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'abajo',\n",
       " 'adiós',\n",
       " 'al',\n",
       " 'alguien',\n",
       " 'alma',\n",
       " 'amarte',\n",
       " 'amo',\n",
       " 'amor',\n",
       " 'arriba',\n",
       " 'baila',\n",
       " 'bailando',\n",
       " 'bailar',\n",
       " 'bebé',\n",
       " 'beso',\n",
       " 'besos',\n",
       " 'boca',\n",
       " 'cama',\n",
       " 'camino',\n",
       " 'cara',\n",
       " 'cielo',\n",
       " 'come',\n",
       " 'conmigo',\n",
       " 'contigo',\n",
       " 'corazón',\n",
       " 'coro',\n",
       " 'cosas',\n",
       " 'creo',\n",
       " 'da',\n",
       " 'dale',\n",
       " 'dame',\n",
       " 'deja',\n",
       " 'del',\n",
       " 'deseo',\n",
       " 'dice',\n",
       " 'digas',\n",
       " 'digo',\n",
       " 'dile',\n",
       " 'dime',\n",
       " 'dios',\n",
       " 'dolor',\n",
       " 'doy',\n",
       " 'duele',\n",
       " 'dura',\n",
       " 'dímelo',\n",
       " 'e',\n",
       " 'enamorado',\n",
       " 'era',\n",
       " 'eres',\n",
       " 'es',\n",
       " 'esa',\n",
       " 'esta',\n",
       " 'estamos',\n",
       " 'estas',\n",
       " 'estoy',\n",
       " 'está',\n",
       " 'estás',\n",
       " 'falta',\n",
       " 'feliz',\n",
       " 'fue',\n",
       " 'ganas',\n",
       " 'gusta',\n",
       " 'ha',\n",
       " 'hace',\n",
       " 'hago',\n",
       " 'hay',\n",
       " 'he',\n",
       " 'importa',\n",
       " 'in',\n",
       " 'it',\n",
       " 'just',\n",
       " 'labios',\n",
       " 'las',\n",
       " 'les',\n",
       " 'llorar',\n",
       " 'loca',\n",
       " 'loco',\n",
       " 'los',\n",
       " 'luz',\n",
       " 'ma',\n",
       " 'mal',\n",
       " 'mala',\n",
       " 'mami',\n",
       " 'manos',\n",
       " 'mas',\n",
       " 'mañana',\n",
       " 'mente',\n",
       " 'miedo',\n",
       " 'mira',\n",
       " 'mirada',\n",
       " 'mis',\n",
       " 'mí',\n",
       " 'mía',\n",
       " 'na',\n",
       " 'nena',\n",
       " 'ojos',\n",
       " 'olvidar',\n",
       " 'otra',\n",
       " 'outro',\n",
       " 'pa',\n",
       " 'pasado',\n",
       " 'paso',\n",
       " 'piel',\n",
       " 'precoro',\n",
       " 'puede',\n",
       " 'puedo',\n",
       " 'puente',\n",
       " 'quiere',\n",
       " 'quieres',\n",
       " 'quiero',\n",
       " 'quisiera',\n",
       " 'sabe',\n",
       " 'sabes',\n",
       " 'santos',\n",
       " 'sea',\n",
       " 'siento',\n",
       " 'sigo',\n",
       " 'sigue',\n",
       " 'sol',\n",
       " 'sola',\n",
       " 'somos',\n",
       " 'son',\n",
       " 'soy',\n",
       " 'sus',\n",
       " 'sé',\n",
       " 'tenerte',\n",
       " 'tengo',\n",
       " 'ti',\n",
       " 'tiene',\n",
       " 'tienes',\n",
       " 'toda',\n",
       " 'todas',\n",
       " 'todos',\n",
       " 'tu',\n",
       " 'tus',\n",
       " 'tú',\n",
       " 'una',\n",
       " 'usted',\n",
       " 'va',\n",
       " 'vamo',\n",
       " 'vamos',\n",
       " 'vas',\n",
       " 'ven',\n",
       " 'veo',\n",
       " 'verse',\n",
       " 'verso',\n",
       " 'verte',\n",
       " 'vivo',\n",
       " 'voy',\n",
       " 'à'}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_250.keys() - bag_of_spanish_key.keys() #165 differences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'además',\n",
       " 'agua',\n",
       " 'alguno',\n",
       " 'allí',\n",
       " 'alto',\n",
       " 'ante',\n",
       " 'aparecer',\n",
       " 'aquel',\n",
       " 'año',\n",
       " 'bajo',\n",
       " 'blanco',\n",
       " 'bueno',\n",
       " 'buscar',\n",
       " 'caer',\n",
       " 'calle',\n",
       " 'cambiar',\n",
       " 'cambio',\n",
       " 'casi',\n",
       " 'caso',\n",
       " 'cierto',\n",
       " 'cinco',\n",
       " 'ciudad',\n",
       " 'comenzar',\n",
       " 'conocer',\n",
       " 'conseguir',\n",
       " 'contar',\n",
       " 'contra',\n",
       " 'cosa',\n",
       " 'creer',\n",
       " 'cual',\n",
       " 'cualquier',\n",
       " 'cuanto',\n",
       " 'cuatro',\n",
       " 'cuenta',\n",
       " 'dar',\n",
       " 'deber',\n",
       " 'dejar',\n",
       " 'después',\n",
       " 'durante',\n",
       " 'ejemplo',\n",
       " 'embargo',\n",
       " 'empezar',\n",
       " 'encontrar',\n",
       " 'entender',\n",
       " 'entonces',\n",
       " 'entrar',\n",
       " 'escribir',\n",
       " 'esperar',\n",
       " 'existir',\n",
       " 'familia',\n",
       " 'fin',\n",
       " 'forma',\n",
       " 'general',\n",
       " 'grande',\n",
       " 'grupo',\n",
       " 'haber',\n",
       " 'hablar',\n",
       " 'hacia',\n",
       " 'hecho',\n",
       " 'hijo',\n",
       " 'historia',\n",
       " 'hora',\n",
       " 'humano',\n",
       " 'idea',\n",
       " 'importante',\n",
       " 'ir',\n",
       " 'largo',\n",
       " 'leer',\n",
       " 'llamar',\n",
       " 'llegar',\n",
       " 'llevar',\n",
       " 'luego',\n",
       " 'lugar',\n",
       " 'manera',\n",
       " 'mantener',\n",
       " 'mayor',\n",
       " 'medio',\n",
       " 'menos',\n",
       " 'mes',\n",
       " 'mientras',\n",
       " 'mirar',\n",
       " 'modo',\n",
       " 'necesitar',\n",
       " 'ninguno',\n",
       " 'niño',\n",
       " 'nombre',\n",
       " 'nosotros',\n",
       " 'nuevo',\n",
       " 'obra',\n",
       " 'ocurrir',\n",
       " 'ojo',\n",
       " 'padre',\n",
       " 'palabra',\n",
       " 'parecer',\n",
       " 'parte',\n",
       " 'pasar',\n",
       " 'país',\n",
       " 'pedir',\n",
       " 'pensar',\n",
       " 'pequeño',\n",
       " 'perder',\n",
       " 'permitir',\n",
       " 'persona',\n",
       " 'poder',\n",
       " 'poner',\n",
       " 'posible',\n",
       " 'presentar',\n",
       " 'primero',\n",
       " 'principio',\n",
       " 'problema',\n",
       " 'producir',\n",
       " 'propio',\n",
       " 'pueblo',\n",
       " 'punto',\n",
       " 'quedar',\n",
       " 'querer',\n",
       " 'razón',\n",
       " 'realidad',\n",
       " 'recibir',\n",
       " 'recordar',\n",
       " 'relación',\n",
       " 'resultar',\n",
       " 'saber',\n",
       " 'sacar',\n",
       " 'salir',\n",
       " 'seguir',\n",
       " 'segundo',\n",
       " 'servir',\n",
       " 'señor',\n",
       " 'sino',\n",
       " 'sobre',\n",
       " 'sí',\n",
       " 'tarde',\n",
       " 'tener',\n",
       " 'terminar',\n",
       " 'tipo',\n",
       " 'todavía',\n",
       " 'tomar',\n",
       " 'trabajar',\n",
       " 'trabajo',\n",
       " 'tratar',\n",
       " 'tres',\n",
       " 'varios',\n",
       " 'venir',\n",
       " 'éste',\n",
       " 'último',\n",
       " 'único'}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_spanish_key.keys() - bag_of_words_250.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'al',\n",
       " 'aunque',\n",
       " 'años',\n",
       " 'del',\n",
       " 'dijo',\n",
       " 'durante',\n",
       " 'e',\n",
       " 'era',\n",
       " 'es',\n",
       " 'está',\n",
       " 'fue',\n",
       " 'gobierno',\n",
       " 'gran',\n",
       " 'ha',\n",
       " 'había',\n",
       " 'hace',\n",
       " 'han',\n",
       " 'hay',\n",
       " 'las',\n",
       " 'los',\n",
       " 'otra',\n",
       " 'otros',\n",
       " 'país',\n",
       " 'puede',\n",
       " 'según',\n",
       " 'sido',\n",
       " 'son',\n",
       " 'sus',\n",
       " 'sólo',\n",
       " 'te',\n",
       " 'tiene',\n",
       " 'todos',\n",
       " 'tres',\n",
       " 'una'}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_corp_1.keys() - bag_of_corp_2.keys() #34 differences in two wiki text corpora out of 100 words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'alguno',\n",
       " 'año',\n",
       " 'cosa',\n",
       " 'creer',\n",
       " 'dar',\n",
       " 'deber',\n",
       " 'decir',\n",
       " 'dejar',\n",
       " 'encontrar',\n",
       " 'entonces',\n",
       " 'estar',\n",
       " 'grande',\n",
       " 'haber',\n",
       " 'hablar',\n",
       " 'hacer',\n",
       " 'hombre',\n",
       " 'ir',\n",
       " 'llegar',\n",
       " 'llevar',\n",
       " 'mucho',\n",
       " 'nada',\n",
       " 'nuestro',\n",
       " 'nuevo',\n",
       " 'parecer',\n",
       " 'pasar',\n",
       " 'poco',\n",
       " 'poder',\n",
       " 'poner',\n",
       " 'primero',\n",
       " 'quedar',\n",
       " 'querer',\n",
       " 's',\n",
       " 'saber',\n",
       " 'seguir',\n",
       " 'tener',\n",
       " 'ver'}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_corp_2.keys() - bag_of_corp_1.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'ahora',\n",
       " 'al',\n",
       " 'así',\n",
       " 'aunque',\n",
       " 'bien',\n",
       " 'cada',\n",
       " 'como',\n",
       " 'con',\n",
       " 'cuando',\n",
       " 'de',\n",
       " 'del',\n",
       " 'desde',\n",
       " 'donde',\n",
       " 'dos',\n",
       " 'día',\n",
       " 'e',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'en',\n",
       " 'entre',\n",
       " 'era',\n",
       " 'es',\n",
       " 'esa',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'esta',\n",
       " 'este',\n",
       " 'está',\n",
       " 'fue',\n",
       " 'ha',\n",
       " 'hace',\n",
       " 'hasta',\n",
       " 'hay',\n",
       " 'la',\n",
       " 'las',\n",
       " 'le',\n",
       " 'lo',\n",
       " 'los',\n",
       " 'me',\n",
       " 'mi',\n",
       " 'mismo',\n",
       " 'muy',\n",
       " 'más',\n",
       " 'ni',\n",
       " 'no',\n",
       " 'nos',\n",
       " 'o',\n",
       " 'otra',\n",
       " 'otro',\n",
       " 'para',\n",
       " 'pero',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'puede',\n",
       " 'que',\n",
       " 'qué',\n",
       " 'se',\n",
       " 'ser',\n",
       " 'si',\n",
       " 'siempre',\n",
       " 'sin',\n",
       " 'son',\n",
       " 'su',\n",
       " 'sus',\n",
       " 'sólo',\n",
       " 'también',\n",
       " 'tan',\n",
       " 'tanto',\n",
       " 'te',\n",
       " 'tiempo',\n",
       " 'tiene',\n",
       " 'todo',\n",
       " 'todos',\n",
       " 'un',\n",
       " 'una',\n",
       " 'uno',\n",
       " 'vez',\n",
       " 'vida',\n",
       " 'y',\n",
       " 'ya',\n",
       " 'yo',\n",
       " 'él'}"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_250.keys() & bag_of_corp_1.keys() #81 similarities between our lyrics list of 250 and text corpus 1 of 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'ahora',\n",
       " 'así',\n",
       " 'bien',\n",
       " 'cada',\n",
       " 'como',\n",
       " 'con',\n",
       " 'cuando',\n",
       " 'de',\n",
       " 'decir',\n",
       " 'desde',\n",
       " 'donde',\n",
       " 'dos',\n",
       " 'día',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'en',\n",
       " 'entre',\n",
       " 'esa',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'esta',\n",
       " 'estar',\n",
       " 'este',\n",
       " 'hacer',\n",
       " 'hasta',\n",
       " 'hombre',\n",
       " 'la',\n",
       " 'le',\n",
       " 'lo',\n",
       " 'me',\n",
       " 'mi',\n",
       " 'mismo',\n",
       " 'mucho',\n",
       " 'muy',\n",
       " 'más',\n",
       " 'nada',\n",
       " 'ni',\n",
       " 'no',\n",
       " 'nos',\n",
       " 'nuestro',\n",
       " 'o',\n",
       " 'otro',\n",
       " 'para',\n",
       " 'pero',\n",
       " 'poco',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'que',\n",
       " 'qué',\n",
       " 'se',\n",
       " 'ser',\n",
       " 'si',\n",
       " 'siempre',\n",
       " 'sin',\n",
       " 'su',\n",
       " 'también',\n",
       " 'tan',\n",
       " 'tanto',\n",
       " 'tiempo',\n",
       " 'todo',\n",
       " 'un',\n",
       " 'uno',\n",
       " 'ver',\n",
       " 'vez',\n",
       " 'vida',\n",
       " 'y',\n",
       " 'ya',\n",
       " 'yo',\n",
       " 'él'}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_250.keys() & bag_of_corp_2.keys() #65 similarities with corpus 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'ahora',\n",
       " 'al',\n",
       " 'así',\n",
       " 'bien',\n",
       " 'como',\n",
       " 'con',\n",
       " 'cuando',\n",
       " 'de',\n",
       " 'del',\n",
       " 'día',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'en',\n",
       " 'es',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'esta',\n",
       " 'este',\n",
       " 'fue',\n",
       " 'hasta',\n",
       " 'hay',\n",
       " 'la',\n",
       " 'las',\n",
       " 'le',\n",
       " 'lo',\n",
       " 'los',\n",
       " 'me',\n",
       " 'mi',\n",
       " 'más',\n",
       " 'ni',\n",
       " 'no',\n",
       " 'nos',\n",
       " 'o',\n",
       " 'otra',\n",
       " 'para',\n",
       " 'pero',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'que',\n",
       " 'qué',\n",
       " 'se',\n",
       " 'ser',\n",
       " 'si',\n",
       " 'siempre',\n",
       " 'sin',\n",
       " 'su',\n",
       " 'tan',\n",
       " 'te',\n",
       " 'tiempo',\n",
       " 'tiene',\n",
       " 'todo',\n",
       " 'un',\n",
       " 'una',\n",
       " 'vez',\n",
       " 'vida',\n",
       " 'y',\n",
       " 'ya',\n",
       " 'yo'}"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_100.keys() & bag_of_corp_1.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'amor',\n",
       " 'aquí',\n",
       " 'conmigo',\n",
       " 'contigo',\n",
       " 'corazón',\n",
       " 'coro',\n",
       " 'cuerpo',\n",
       " 'dime',\n",
       " 'eres',\n",
       " 'estoy',\n",
       " 'gusta',\n",
       " 'he',\n",
       " 'hoy',\n",
       " 'in',\n",
       " 'it',\n",
       " 'loco',\n",
       " 'mas',\n",
       " 'mejor',\n",
       " 'mis',\n",
       " 'mí',\n",
       " 'na',\n",
       " 'nada',\n",
       " 'noche',\n",
       " 'nunca',\n",
       " 'pa',\n",
       " 'puedo',\n",
       " 'quiero',\n",
       " 'siento',\n",
       " 'solo',\n",
       " 'soy',\n",
       " 'sé',\n",
       " 'tengo',\n",
       " 'ti',\n",
       " 'tu',\n",
       " 'tus',\n",
       " 'tú',\n",
       " 'va',\n",
       " 'vas',\n",
       " 'ven',\n",
       " 'verso',\n",
       " 'voy'}"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_100.keys() - bag_of_corp_1.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'aunque',\n",
       " 'años',\n",
       " 'cada',\n",
       " 'desde',\n",
       " 'después',\n",
       " 'dijo',\n",
       " 'donde',\n",
       " 'dos',\n",
       " 'durante',\n",
       " 'e',\n",
       " 'entre',\n",
       " 'era',\n",
       " 'esa',\n",
       " 'está',\n",
       " 'gobierno',\n",
       " 'gran',\n",
       " 'ha',\n",
       " 'había',\n",
       " 'hace',\n",
       " 'han',\n",
       " 'menos',\n",
       " 'mismo',\n",
       " 'muy',\n",
       " 'otro',\n",
       " 'otros',\n",
       " 'parte',\n",
       " 'país',\n",
       " 'puede',\n",
       " 'según',\n",
       " 'sido',\n",
       " 'sobre',\n",
       " 'son',\n",
       " 'sus',\n",
       " 'sí',\n",
       " 'sólo',\n",
       " 'también',\n",
       " 'tanto',\n",
       " 'todos',\n",
       " 'tres',\n",
       " 'uno',\n",
       " 'él'}"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_corp_1.keys() - bag_of_words_100.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'ahora',\n",
       " 'así',\n",
       " 'bien',\n",
       " 'como',\n",
       " 'con',\n",
       " 'cuando',\n",
       " 'de',\n",
       " 'día',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'en',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'esta',\n",
       " 'este',\n",
       " 'hasta',\n",
       " 'la',\n",
       " 'le',\n",
       " 'lo',\n",
       " 'me',\n",
       " 'mi',\n",
       " 'más',\n",
       " 'nada',\n",
       " 'ni',\n",
       " 'no',\n",
       " 'nos',\n",
       " 'o',\n",
       " 'para',\n",
       " 'pero',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'que',\n",
       " 'qué',\n",
       " 'se',\n",
       " 'ser',\n",
       " 'si',\n",
       " 'siempre',\n",
       " 'sin',\n",
       " 'su',\n",
       " 'tan',\n",
       " 'tiempo',\n",
       " 'todo',\n",
       " 'un',\n",
       " 'vez',\n",
       " 'vida',\n",
       " 'y',\n",
       " 'ya',\n",
       " 'yo'}"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_100.keys() & bag_of_corp_2.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'al',\n",
       " 'amor',\n",
       " 'aquí',\n",
       " 'conmigo',\n",
       " 'contigo',\n",
       " 'corazón',\n",
       " 'coro',\n",
       " 'cuerpo',\n",
       " 'del',\n",
       " 'dime',\n",
       " 'eres',\n",
       " 'es',\n",
       " 'estoy',\n",
       " 'fue',\n",
       " 'gusta',\n",
       " 'hay',\n",
       " 'he',\n",
       " 'hoy',\n",
       " 'in',\n",
       " 'it',\n",
       " 'las',\n",
       " 'loco',\n",
       " 'los',\n",
       " 'mas',\n",
       " 'mejor',\n",
       " 'mis',\n",
       " 'mí',\n",
       " 'na',\n",
       " 'noche',\n",
       " 'nunca',\n",
       " 'otra',\n",
       " 'pa',\n",
       " 'puedo',\n",
       " 'quiero',\n",
       " 'siento',\n",
       " 'solo',\n",
       " 'soy',\n",
       " 'sé',\n",
       " 'te',\n",
       " 'tengo',\n",
       " 'ti',\n",
       " 'tiene',\n",
       " 'tu',\n",
       " 'tus',\n",
       " 'tú',\n",
       " 'una',\n",
       " 'va',\n",
       " 'vas',\n",
       " 'ven',\n",
       " 'verso',\n",
       " 'voy'}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_words_100.keys() - bag_of_corp_2.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'alguno',\n",
       " 'año',\n",
       " 'cada',\n",
       " 'cosa',\n",
       " 'creer',\n",
       " 'dar',\n",
       " 'deber',\n",
       " 'decir',\n",
       " 'dejar',\n",
       " 'desde',\n",
       " 'después',\n",
       " 'donde',\n",
       " 'dos',\n",
       " 'encontrar',\n",
       " 'entonces',\n",
       " 'entre',\n",
       " 'esa',\n",
       " 'estar',\n",
       " 'grande',\n",
       " 'haber',\n",
       " 'hablar',\n",
       " 'hacer',\n",
       " 'hombre',\n",
       " 'ir',\n",
       " 'llegar',\n",
       " 'llevar',\n",
       " 'menos',\n",
       " 'mismo',\n",
       " 'mucho',\n",
       " 'muy',\n",
       " 'nuestro',\n",
       " 'nuevo',\n",
       " 'otro',\n",
       " 'parecer',\n",
       " 'parte',\n",
       " 'pasar',\n",
       " 'poco',\n",
       " 'poder',\n",
       " 'poner',\n",
       " 'primero',\n",
       " 'quedar',\n",
       " 'querer',\n",
       " 's',\n",
       " 'saber',\n",
       " 'seguir',\n",
       " 'sobre',\n",
       " 'sí',\n",
       " 'también',\n",
       " 'tanto',\n",
       " 'tener',\n",
       " 'uno',\n",
       " 'ver',\n",
       " 'él'}"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_corp_2.keys() - bag_of_words_100.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>abajo</th>\n",
       "      <th>además</th>\n",
       "      <th>adiós</th>\n",
       "      <th>agua</th>\n",
       "      <th>ahora</th>\n",
       "      <th>ahí</th>\n",
       "      <th>al</th>\n",
       "      <th>algo</th>\n",
       "      <th>alguien</th>\n",
       "      <th>...</th>\n",
       "      <th>volver</th>\n",
       "      <th>voy</th>\n",
       "      <th>y</th>\n",
       "      <th>ya</th>\n",
       "      <th>yo</th>\n",
       "      <th>à</th>\n",
       "      <th>él</th>\n",
       "      <th>éste</th>\n",
       "      <th>último</th>\n",
       "      <th>único</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Lyrics 250</th>\n",
       "      <td>6</td>\n",
       "      <td>241.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>244.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62</td>\n",
       "      <td>190.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>...</td>\n",
       "      <td>239.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>173.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spanish Key</th>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>158.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>192.0</td>\n",
       "      <td>73</td>\n",
       "      <td>188.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>29</td>\n",
       "      <td>135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lyrics 100</th>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Text Corpus 1</th>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>33</td>\n",
       "      <td>55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Text Corpus 2</th>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>36</td>\n",
       "      <td>52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 407 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               a  abajo  además  adiós   agua  ahora    ahí    al   algo  \\\n",
       "Lyrics 250     6  241.0     NaN  244.0    NaN     62  190.0  35.0  164.0   \n",
       "Spanish Key    5    NaN   158.0    NaN  192.0     73  188.0   NaN   89.0   \n",
       "Lyrics 100     6    NaN     NaN    NaN    NaN     62    NaN  35.0    NaN   \n",
       "Text Corpus 1  6    NaN     NaN    NaN    NaN     72    NaN  19.0    NaN   \n",
       "Text Corpus 2  5    NaN     NaN    NaN    NaN     86    NaN   NaN    NaN   \n",
       "\n",
       "               alguien  ...    volver   voy  y  ya   yo      à     él   éste  \\\n",
       "Lyrics 250       228.0  ...     239.0  48.0  1  24   10  173.0  166.0    NaN   \n",
       "Spanish Key        NaN  ...     100.0   NaN  4  29  135    NaN  133.0  167.0   \n",
       "Lyrics 100         NaN  ...       NaN  48.0  1  24   10    NaN    NaN    NaN   \n",
       "Text Corpus 1      NaN  ...       NaN   NaN  5  33   55    NaN   65.0    NaN   \n",
       "Text Corpus 2      NaN  ...       NaN   NaN  4  36   52    NaN   41.0    NaN   \n",
       "\n",
       "               último  único  \n",
       "Lyrics 250        NaN    NaN  \n",
       "Spanish Key     126.0  180.0  \n",
       "Lyrics 100        NaN    NaN  \n",
       "Text Corpus 1     NaN    NaN  \n",
       "Text Corpus 2     NaN    NaN  \n",
       "\n",
       "[5 rows x 407 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "bow_all = pd.DataFrame([bag_of_words_250, bag_of_spanish_key, bag_of_words_100, bag_of_corp_1, bag_of_corp_2])\n",
    "bow_all.rename(index={0:'Lyrics 250',1:'Spanish Key',2:'Lyrics 100',3:'Text Corpus 1',4:'Text Corpus 2'}, inplace=True)\n",
    "bow_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "bow_all.to_excel(\"Corpora_Comparison.xlsx\", sheet_name=\"Sheet1\", index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part of Speech Frequency to Total Language"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lyrics</th>\n",
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       "      <th>9</th>\n",
       "      <td>en</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>yo</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>tu</td>\n",
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       "      <th>12</th>\n",
       "      <td>mi</td>\n",
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       "      <td>lo</td>\n",
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       "      <th>14</th>\n",
       "      <td>se</td>\n",
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       "      <th>15</th>\n",
       "      <td>un</td>\n",
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       "      <td>es</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>por</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>si</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>con</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>tú</td>\n",
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       "      <th>21</th>\n",
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       "      <th>22</th>\n",
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       "      <th>24</th>\n",
       "      <td>ya</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>quiero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>una</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>las</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>para</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ti</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>ando</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>quieras</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>sí</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>caso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>dar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>day</td>\n",
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       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>fuera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>chi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>vuelvo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>vai</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>buscando</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>pensando</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>parece</td>\n",
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       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>ayer</td>\n",
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       "      <th>348</th>\n",
       "      <td>misma</td>\n",
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       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>dejo</td>\n",
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       "      <th>350</th>\n",
       "      <td>zion</td>\n",
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       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>bajo</td>\n",
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       "      <th>352</th>\n",
       "      <td>forma</td>\n",
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       "    <tr>\n",
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       "      <th>354</th>\n",
       "      <td>final</td>\n",
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       "      <th>359</th>\n",
       "      <td>sido</td>\n",
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       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>mar</td>\n",
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       "      <th>361</th>\n",
       "      <td>vi</td>\n",
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       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>an</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>hecho</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>364 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Lyrics\n",
       "0         que\n",
       "1           y\n",
       "2          de\n",
       "3          me\n",
       "4          no\n",
       "5          la\n",
       "6           a\n",
       "7          te\n",
       "8          el\n",
       "9          en\n",
       "10         yo\n",
       "11         tu\n",
       "12         mi\n",
       "13         lo\n",
       "14         se\n",
       "15         un\n",
       "16         es\n",
       "17        por\n",
       "18         si\n",
       "19        con\n",
       "20         tú\n",
       "21       amor\n",
       "22       como\n",
       "23        los\n",
       "24         ya\n",
       "25     quiero\n",
       "26        una\n",
       "27        las\n",
       "28       para\n",
       "29         ti\n",
       "..        ...\n",
       "334      ando\n",
       "335   quieras\n",
       "336        sí\n",
       "337      caso\n",
       "338       dar\n",
       "339       day\n",
       "340     fuera\n",
       "341       chi\n",
       "342    vuelvo\n",
       "343       vai\n",
       "344  buscando\n",
       "345  pensando\n",
       "346    parece\n",
       "347      ayer\n",
       "348     misma\n",
       "349      dejo\n",
       "350      zion\n",
       "351      bajo\n",
       "352     forma\n",
       "353     sueño\n",
       "354     final\n",
       "355    noches\n",
       "356      vale\n",
       "357      real\n",
       "358       aun\n",
       "359      sido\n",
       "360       mar\n",
       "361        vi\n",
       "362        an\n",
       "363     hecho\n",
       "\n",
       "[364 rows x 1 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lyrics_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>17</th>\n",
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       "      <th>18</th>\n",
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       "      <th>19</th>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>olvidar</td>\n",
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       "      <th>21</th>\n",
       "      <td>pensar</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>mirar</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>poner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>enamorar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>vivir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>llorar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6675</th>\n",
       "      <td>hehhehheh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6676</th>\n",
       "      <td>lacey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6677</th>\n",
       "      <td>neighbour</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6678</th>\n",
       "      <td>antiquity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6679</th>\n",
       "      <td>kron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6680</th>\n",
       "      <td>saavedra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6681</th>\n",
       "      <td>anarkist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6682</th>\n",
       "      <td>luig</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6683</th>\n",
       "      <td>reprochar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6684</th>\n",
       "      <td>mcmillan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6685</th>\n",
       "      <td>entregarlo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6686</th>\n",
       "      <td>conspicuous</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6687</th>\n",
       "      <td>poverty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6688</th>\n",
       "      <td>sami</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6689</th>\n",
       "      <td>kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6690</th>\n",
       "      <td>rashaun</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6691</th>\n",
       "      <td>nalgona</td>\n",
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       "    <tr>\n",
       "      <th>6692</th>\n",
       "      <td>roter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6693</th>\n",
       "      <td>tranquilita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6694</th>\n",
       "      <td>élevé</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6695</th>\n",
       "      <td>escoltar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6696</th>\n",
       "      <td>stats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6697</th>\n",
       "      <td>ripley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6698</th>\n",
       "      <td>lies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6699</th>\n",
       "      <td>encajonar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6700</th>\n",
       "      <td>pisteare</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6701</th>\n",
       "      <td>core</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6702</th>\n",
       "      <td>legends</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6703</th>\n",
       "      <td>besarlo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6704</th>\n",
       "      <td>near</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6705 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Verbs\n",
       "0             ser\n",
       "1          querer\n",
       "2           haber\n",
       "3              ir\n",
       "4           estar\n",
       "5           tener\n",
       "6           hacer\n",
       "7             ver\n",
       "8           decir\n",
       "9           poder\n",
       "10            dar\n",
       "11         sentir\n",
       "12          saber\n",
       "13         volver\n",
       "14           amar\n",
       "15          dejar\n",
       "16         gustar\n",
       "17         bailar\n",
       "18           that\n",
       "19         seguir\n",
       "20        olvidar\n",
       "21         pensar\n",
       "22             ft\n",
       "23          pasar\n",
       "24          mirar\n",
       "25           like\n",
       "26          poner\n",
       "27       enamorar\n",
       "28          vivir\n",
       "29         llorar\n",
       "...           ...\n",
       "6675    hehhehheh\n",
       "6676        lacey\n",
       "6677    neighbour\n",
       "6678    antiquity\n",
       "6679         kron\n",
       "6680     saavedra\n",
       "6681     anarkist\n",
       "6682         luig\n",
       "6683    reprochar\n",
       "6684     mcmillan\n",
       "6685   entregarlo\n",
       "6686  conspicuous\n",
       "6687      poverty\n",
       "6688         sami\n",
       "6689        kings\n",
       "6690      rashaun\n",
       "6691      nalgona\n",
       "6692        roter\n",
       "6693  tranquilita\n",
       "6694        élevé\n",
       "6695     escoltar\n",
       "6696        stats\n",
       "6697       ripley\n",
       "6698         lies\n",
       "6699    encajonar\n",
       "6700     pisteare\n",
       "6701         core\n",
       "6702      legends\n",
       "6703      besarlo\n",
       "6704         near\n",
       "\n",
       "[6705 rows x 1 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "verbs = pd.read_excel('verbs.xlsx',sheet_name='Sheet1')\n",
    "verbs_2 = verbs.reset_index()\n",
    "verbs_2.drop([0], axis=1, inplace=True)\n",
    "verbs_2.columns = ['Verbs']\n",
    "verbs_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Nouns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>amor</td>\n",
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       "      <td>oh</td>\n",
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       "      <td>vida</td>\n",
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       "      <th>3</th>\n",
       "      <td>coro</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>vez</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>corazón</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>noche</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>día</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>cuerpo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tiempo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>mundo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>shaky</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>letra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>mami</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>besar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ojo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>beso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>lado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>precoro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>coser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>piel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>feat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>cama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>alma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>casar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ganar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>mirar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9813</th>\n",
       "      <td>comando</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9814</th>\n",
       "      <td>sab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9815</th>\n",
       "      <td>luisa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9816</th>\n",
       "      <td>audi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9817</th>\n",
       "      <td>bailalocoro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9818</th>\n",
       "      <td>ensayar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9819</th>\n",
       "      <td>hormiga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9820</th>\n",
       "      <td>decicion</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9821</th>\n",
       "      <td>pedirme</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9822</th>\n",
       "      <td>constancy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9823</th>\n",
       "      <td>heartbroken</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9824</th>\n",
       "      <td>regrettée</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9825</th>\n",
       "      <td>denorfia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9826</th>\n",
       "      <td>escuadrilla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9827</th>\n",
       "      <td>desprevenido</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9828</th>\n",
       "      <td>eslabón</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9829</th>\n",
       "      <td>treprocher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9830</th>\n",
       "      <td>basis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9831</th>\n",
       "      <td>calibre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9832</th>\n",
       "      <td>invitacion</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9833</th>\n",
       "      <td>esquinita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9834</th>\n",
       "      <td>coloquio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9835</th>\n",
       "      <td>required</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9836</th>\n",
       "      <td>alli</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9837</th>\n",
       "      <td>cold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9838</th>\n",
       "      <td>charmant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9839</th>\n",
       "      <td>cuentaa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9840</th>\n",
       "      <td>ytu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9841</th>\n",
       "      <td>tuyau</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9842</th>\n",
       "      <td>cérebro</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9843 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Nouns\n",
       "0             amor\n",
       "1               oh\n",
       "2             vida\n",
       "3             coro\n",
       "4              vez\n",
       "5          corazón\n",
       "6            noche\n",
       "7              día\n",
       "8           cuerpo\n",
       "9           tiempo\n",
       "10           mundo\n",
       "11           shaky\n",
       "12           letra\n",
       "13            mami\n",
       "14           besar\n",
       "15             ser\n",
       "16           mujer\n",
       "17               x\n",
       "18             ojo\n",
       "19            beso\n",
       "20            lado\n",
       "21         precoro\n",
       "22           coser\n",
       "23            piel\n",
       "24            feat\n",
       "25            cama\n",
       "26            alma\n",
       "27           casar\n",
       "28           ganar\n",
       "29           mirar\n",
       "...            ...\n",
       "9813       comando\n",
       "9814           sab\n",
       "9815         luisa\n",
       "9816          audi\n",
       "9817   bailalocoro\n",
       "9818       ensayar\n",
       "9819       hormiga\n",
       "9820      decicion\n",
       "9821       pedirme\n",
       "9822     constancy\n",
       "9823   heartbroken\n",
       "9824     regrettée\n",
       "9825      denorfia\n",
       "9826   escuadrilla\n",
       "9827  desprevenido\n",
       "9828       eslabón\n",
       "9829    treprocher\n",
       "9830         basis\n",
       "9831       calibre\n",
       "9832    invitacion\n",
       "9833     esquinita\n",
       "9834      coloquio\n",
       "9835      required\n",
       "9836          alli\n",
       "9837          cold\n",
       "9838      charmant\n",
       "9839       cuentaa\n",
       "9840           ytu\n",
       "9841         tuyau\n",
       "9842       cérebro\n",
       "\n",
       "[9843 rows x 1 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nouns = pd.read_excel('nouns.xlsx',sheet_name='Sheet1')\n",
    "nouns_2 = nouns.reset_index()\n",
    "nouns_2.drop([0], axis=1, inplace=True)\n",
    "nouns_2.columns = ['Nouns']\n",
    "nouns_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Ads</th>\n",
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       "  <tbody>\n",
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       "      <td>no</td>\n",
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       "      <td>verso</td>\n",
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       "      <td>ahora</td>\n",
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       "      <th>7</th>\n",
       "      <td>bien</td>\n",
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       "      <th>8</th>\n",
       "      <td>siempre</td>\n",
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       "      <th>9</th>\n",
       "      <td>mas</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>aquí</td>\n",
       "    </tr>\n",
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       "      <th>11</th>\n",
       "      <td>hoy</td>\n",
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       "      <th>14</th>\n",
       "      <td>dime</td>\n",
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       "      <th>15</th>\n",
       "      <td>nunca</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>baby</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mejor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>loco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>también</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>muy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>sólo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>feliz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>yeah</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>oh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>sola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>na</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>loca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>outro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>feat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7992</th>\n",
       "      <td>inalcanzables</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7993</th>\n",
       "      <td>secrecy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7994</th>\n",
       "      <td>quinta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7995</th>\n",
       "      <td>xavi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7996</th>\n",
       "      <td>superas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7997</th>\n",
       "      <td>grandma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7998</th>\n",
       "      <td>chance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7999</th>\n",
       "      <td>fill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8000</th>\n",
       "      <td>retrasados</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8001</th>\n",
       "      <td>iguana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8002</th>\n",
       "      <td>tplier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8003</th>\n",
       "      <td>opt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8004</th>\n",
       "      <td>durisima</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8005</th>\n",
       "      <td>addition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8006</th>\n",
       "      <td>chandelier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8007</th>\n",
       "      <td>usual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8008</th>\n",
       "      <td>disfrútala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8009</th>\n",
       "      <td>ayokay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8010</th>\n",
       "      <td>foo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8011</th>\n",
       "      <td>remendados</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8012</th>\n",
       "      <td>trap</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8013</th>\n",
       "      <td>razzie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8014</th>\n",
       "      <td>perdiendoo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8015</th>\n",
       "      <td>rizadas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8016</th>\n",
       "      <td>tites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8017</th>\n",
       "      <td>limon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8018</th>\n",
       "      <td>cave</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8019</th>\n",
       "      <td>pasadas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8020</th>\n",
       "      <td>piégé</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8021</th>\n",
       "      <td>verified</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8022 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Ads\n",
       "0                no\n",
       "1                ya\n",
       "2               más\n",
       "3             verso\n",
       "4               así\n",
       "5              solo\n",
       "6             ahora\n",
       "7              bien\n",
       "8           siempre\n",
       "9               mas\n",
       "10             aquí\n",
       "11              hoy\n",
       "12              tan\n",
       "13               on\n",
       "14             dime\n",
       "15            nunca\n",
       "16             baby\n",
       "17            mejor\n",
       "18             loco\n",
       "19          también\n",
       "20              muy\n",
       "21             sólo\n",
       "22            feliz\n",
       "23             yeah\n",
       "24               oh\n",
       "25             sola\n",
       "26               na\n",
       "27             loca\n",
       "28            outro\n",
       "29             feat\n",
       "...             ...\n",
       "7992  inalcanzables\n",
       "7993        secrecy\n",
       "7994         quinta\n",
       "7995           xavi\n",
       "7996        superas\n",
       "7997        grandma\n",
       "7998         chance\n",
       "7999           fill\n",
       "8000     retrasados\n",
       "8001         iguana\n",
       "8002         tplier\n",
       "8003            opt\n",
       "8004       durisima\n",
       "8005       addition\n",
       "8006     chandelier\n",
       "8007          usual\n",
       "8008     disfrútala\n",
       "8009         ayokay\n",
       "8010            foo\n",
       "8011     remendados\n",
       "8012           trap\n",
       "8013         razzie\n",
       "8014     perdiendoo\n",
       "8015        rizadas\n",
       "8016          tites\n",
       "8017          limon\n",
       "8018           cave\n",
       "8019        pasadas\n",
       "8020          piégé\n",
       "8021       verified\n",
       "\n",
       "[8022 rows x 1 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ads = pd.read_excel('ads.xlsx',sheet_name='Sheet1')\n",
    "ads_2 = ads.reset_index()\n",
    "ads_2.drop([0], axis=1, inplace=True)\n",
    "ads_2.columns = ['Ads']\n",
    "ads_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pronouns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>me</td>\n",
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       "      <td>yo</td>\n",
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       "      <td>se</td>\n",
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       "      <td>tú</td>\n",
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       "    <tr>\n",
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       "      <td>lo</td>\n",
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       "      <th>9</th>\n",
       "      <td>ella</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>nos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>mí</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>nada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>la</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>eso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>conmigo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>qué</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>todo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>contigo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>quien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>nadie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>esto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>so</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>cómo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>donde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>les</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>él</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>to</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>mía</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>algo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <th>415</th>\n",
       "      <td>quart</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>enamorarme</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>set</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>io</td>\n",
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       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>carlitos</td>\n",
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       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>wirlow</td>\n",
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       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>svlm</td>\n",
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       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>sonta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>appointed</td>\n",
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       "    <tr>\n",
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       "      <td>tas</td>\n",
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       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>unas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>position</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>mum</td>\n",
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       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>queréis</td>\n",
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       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>jpl</td>\n",
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       "    <tr>\n",
       "      <th>431</th>\n",
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       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>aki</td>\n",
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       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>him</td>\n",
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       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>salgo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>rn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
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       "      <td>amy</td>\n",
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       "      <td>alighted</td>\n",
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       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>diverted</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>cleansing</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>445 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pronouns\n",
       "0            me\n",
       "1            te\n",
       "2           que\n",
       "3            yo\n",
       "4            se\n",
       "5            tú\n",
       "6            lo\n",
       "7            ti\n",
       "8            le\n",
       "9          ella\n",
       "10          nos\n",
       "11           mí\n",
       "12         nada\n",
       "13           la\n",
       "14          eso\n",
       "15      conmigo\n",
       "16          qué\n",
       "17         todo\n",
       "18      contigo\n",
       "19        quien\n",
       "20        nadie\n",
       "21         esto\n",
       "22           so\n",
       "23         cómo\n",
       "24        donde\n",
       "25          les\n",
       "26           él\n",
       "27           to\n",
       "28          mía\n",
       "29         algo\n",
       "..          ...\n",
       "415       quart\n",
       "416  enamorarme\n",
       "417         set\n",
       "418          io\n",
       "419    carlitos\n",
       "420      wirlow\n",
       "421        svlm\n",
       "422       sonta\n",
       "423         not\n",
       "424   appointed\n",
       "425         tas\n",
       "426        unas\n",
       "427    position\n",
       "428         mum\n",
       "429     queréis\n",
       "430         jpl\n",
       "431      stille\n",
       "432         aki\n",
       "433         him\n",
       "434       salgo\n",
       "435          rn\n",
       "436    civilian\n",
       "437         amy\n",
       "438    alighted\n",
       "439          ao\n",
       "440       quand\n",
       "441          ly\n",
       "442         jet\n",
       "443    diverted\n",
       "444   cleansing\n",
       "\n",
       "[445 rows x 1 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pronouns = pd.read_excel('pronouns.xlsx',sheet_name='Sheet1')\n",
    "pronouns_2 = pronouns.reset_index()\n",
    "pronouns_2.drop([0], axis=1, inplace=True)\n",
    "pronouns_2.columns = ['Pronouns']\n",
    "pronouns_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>à</td>\n",
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       "      <th>16</th>\n",
       "      <td>x</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mientras</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>z</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>one</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>are</td>\n",
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       "      <th>21</th>\n",
       "      <td>ay</td>\n",
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       "      <th>22</th>\n",
       "      <td>w</td>\n",
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       "      <th>23</th>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>mum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>young</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>sino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>be</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>him</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>sori</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>mia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>ó</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>sebonds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>sebastián</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>aw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>lit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>nuff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>wow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>quy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>rat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>yin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>iy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>lportrait</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>summer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>serás</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>elton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>waterloo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>labess</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>nerd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>sh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>ur</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>xxx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>háblame</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>public</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>yazid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>hall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>qu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>quizas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>pee</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>252 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Conjs\n",
       "0            S\n",
       "1            y\n",
       "2          que\n",
       "3           si\n",
       "4         como\n",
       "5            i\n",
       "6       cuando\n",
       "7         pero\n",
       "8       porque\n",
       "9           ni\n",
       "10           o\n",
       "11      aunque\n",
       "12           e\n",
       "13          up\n",
       "14        pues\n",
       "15           à\n",
       "16           x\n",
       "17    mientras\n",
       "18           z\n",
       "19         one\n",
       "20         are\n",
       "21          ay\n",
       "22           w\n",
       "23           u\n",
       "24         mum\n",
       "25          us\n",
       "26       young\n",
       "27        sino\n",
       "28          be\n",
       "29         him\n",
       "..         ...\n",
       "222       sori\n",
       "223        mia\n",
       "224          ó\n",
       "225    sebonds\n",
       "226  sebastián\n",
       "227         aw\n",
       "228        lit\n",
       "229       nuff\n",
       "230        wow\n",
       "231        quy\n",
       "232        rat\n",
       "233        yin\n",
       "234         iy\n",
       "235  lportrait\n",
       "236     summer\n",
       "237      serás\n",
       "238      elton\n",
       "239   waterloo\n",
       "240     labess\n",
       "241       nerd\n",
       "242         sh\n",
       "243         ur\n",
       "244        xxx\n",
       "245    háblame\n",
       "246     public\n",
       "247      yazid\n",
       "248       hall\n",
       "249         qu\n",
       "250     quizas\n",
       "251        pee\n",
       "\n",
       "[252 rows x 1 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conjs = pd.read_excel('conjs.xlsx',sheet_name='Sheet1')\n",
    "conjs_2 = conjs.reset_index()\n",
    "conjs_2.drop([0], axis=1, inplace=True)\n",
    "conjs_2.columns = ['Conjs']\n",
    "conjs_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>25</th>\n",
       "      <td>todo</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>este</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ese</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>otra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>703</th>\n",
       "      <td>ia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>704</th>\n",
       "      <td>kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>menacé</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>preparo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>707</th>\n",
       "      <td>uhuh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708</th>\n",
       "      <td>decidi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>709</th>\n",
       "      <td>não</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>710</th>\n",
       "      <td>admettre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>711</th>\n",
       "      <td>perhaps</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>wrist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>honey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>yatra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>dough</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>stripper</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>dêtre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>déconne</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>voodoo</td>\n",
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       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>chart</td>\n",
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       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>unorthodox</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>722</th>\n",
       "      <td>og</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>723</th>\n",
       "      <td>sabrás</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>man</td>\n",
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       "      <th>725</th>\n",
       "      <td>súbete</td>\n",
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       "      <th>726</th>\n",
       "      <td>rob</td>\n",
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       "      <td>kicks</td>\n",
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       "      <th>729</th>\n",
       "      <td>ts</td>\n",
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       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>fly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>ls</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>dreadfully</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>733 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Stops\n",
       "0            de\n",
       "1             a\n",
       "2            la\n",
       "3            el\n",
       "4            en\n",
       "5            tu\n",
       "6            mi\n",
       "7            un\n",
       "8           por\n",
       "9           con\n",
       "10           lo\n",
       "11          los\n",
       "12           pa\n",
       "13          una\n",
       "14         para\n",
       "15          las\n",
       "16          sin\n",
       "17           al\n",
       "18          tus\n",
       "19           su\n",
       "20          del\n",
       "21          mis\n",
       "22           in\n",
       "23         esta\n",
       "24        hasta\n",
       "25         todo\n",
       "26         este\n",
       "27          ese\n",
       "28         otra\n",
       "29           ft\n",
       "..          ...\n",
       "703          ia\n",
       "704     kingdom\n",
       "705      menacé\n",
       "706     preparo\n",
       "707        uhuh\n",
       "708      decidi\n",
       "709         não\n",
       "710    admettre\n",
       "711     perhaps\n",
       "712       wrist\n",
       "713       honey\n",
       "714       yatra\n",
       "715       dough\n",
       "716    stripper\n",
       "717       dêtre\n",
       "718     déconne\n",
       "719      voodoo\n",
       "720       chart\n",
       "721  unorthodox\n",
       "722          og\n",
       "723      sabrás\n",
       "724         man\n",
       "725      súbete\n",
       "726         rob\n",
       "727       equal\n",
       "728       kicks\n",
       "729          ts\n",
       "730         fly\n",
       "731          ls\n",
       "732  dreadfully\n",
       "\n",
       "[733 rows x 1 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stops = pd.read_excel('stopwords.xlsx',sheet_name='Sheet1')\n",
    "stops_2 = stops.reset_index()\n",
    "stops_2.drop([0], axis=1, inplace=True)\n",
    "stops_2.columns = ['Stops']\n",
    "stops_2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parts of speech frequencies:\n",
    "- 26,977 total words in the lyrics corpus, 26,106 without English stopwrods. When divided into the parts of speech, SpaCy returns 26,000 words.\n",
    "- 9,843 lemmatized nouns, 6,705 lemmatized verbs, 8,022 ads, 733 stopwrods, 445 pronouns, 252 conjs\n",
    "- Nouns are 37.85%, 25.78 verbs, 30.85 ads, 2.8 stopwords, 1.7 pronouns, .9 conjs\n",
    "- Of a list continaing 500 words, the share of nouns would be 189.25, 128.9 verbs, 154.25 ads, 14 stopwords, 8.5 pronouns, and 4.5 conjs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>37.85</td>\n",
       "      <td>25.78</td>\n",
       "      <td>30.85</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.9</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   nouns  verbs    ads  stopwords  pronouns  conjs\n",
       "0  37.85  25.78  30.85        2.8       1.7    0.9"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(columns=[\"nouns\",\"verbs\",\"ads\",\"stopwords\",\"pronouns\",\"conjs\"], data=[[37.85,25.78,30.85,2.8,1.7,.9]])\n",
    "display(df)\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "p = sns.barplot(data=df, palette=\"ch:.25\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parts of Speech</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>amor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>oh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>vida</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>coro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>vez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>corazón</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>noche</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>día</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>cuerpo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tiempo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>mundo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>shaky</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>letra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>mami</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>besar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ojo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>beso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>lado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>precoro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>coser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>piel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>feat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>cama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>alma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>casar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ganar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>mirar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>viento</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>movimiento</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>mañana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>olvidar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>silenciar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>dudar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>locura</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>razón</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>can</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>frente</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>decir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>shorty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>saber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>historia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>ritmar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>muerte</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>aguar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>aire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>decirte</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>pasión</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>amigar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>señor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>tony</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>uh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>álbum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>rey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>cambiar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>world</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>par</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>venir</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>189 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Parts of Speech\n",
       "0              amor\n",
       "1                oh\n",
       "2              vida\n",
       "3              coro\n",
       "4               vez\n",
       "5           corazón\n",
       "6             noche\n",
       "7               día\n",
       "8            cuerpo\n",
       "9            tiempo\n",
       "10            mundo\n",
       "11            shaky\n",
       "12            letra\n",
       "13             mami\n",
       "14            besar\n",
       "15              ser\n",
       "16            mujer\n",
       "17                x\n",
       "18              ojo\n",
       "19             beso\n",
       "20             lado\n",
       "21          precoro\n",
       "22            coser\n",
       "23             piel\n",
       "24             feat\n",
       "25             cama\n",
       "26             alma\n",
       "27            casar\n",
       "28            ganar\n",
       "29            mirar\n",
       "..              ...\n",
       "159          viento\n",
       "160      movimiento\n",
       "161          mañana\n",
       "162         olvidar\n",
       "163       silenciar\n",
       "164           dudar\n",
       "165          locura\n",
       "166           razón\n",
       "167             can\n",
       "168          frente\n",
       "169           decir\n",
       "170          shorty\n",
       "171           saber\n",
       "172        historia\n",
       "173          ritmar\n",
       "174          muerte\n",
       "175           aguar\n",
       "176            aire\n",
       "177         decirte\n",
       "178          pasión\n",
       "179          amigar\n",
       "180           señor\n",
       "181            tony\n",
       "182              uh\n",
       "183           álbum\n",
       "184             rey\n",
       "185         cambiar\n",
       "186           world\n",
       "187             par\n",
       "188           venir\n",
       "\n",
       "[189 rows x 1 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noun_new_1 = pd.DataFrame()\n",
    "noun_new_2 = pd.DataFrame()\n",
    "\n",
    "if nouns_2.shape[0] > 9842: # len(df) > 10 would also work\n",
    "    noun_new_1 = nouns_2[:189]\n",
    "    noun_new_2 = nouns_2[189:]\n",
    "    \n",
    "noun_new_1.columns = ['Parts of Speech']\n",
    "noun_new_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parts of Speech</th>\n",
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       "  <tbody>\n",
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       "      <td>haber</td>\n",
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       "      <td>ir</td>\n",
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       "      <th>4</th>\n",
       "      <td>estar</td>\n",
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       "      <th>5</th>\n",
       "      <td>tener</td>\n",
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       "      <th>6</th>\n",
       "      <td>hacer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>decir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>poder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>dar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>sentir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>saber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>volver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>amar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>dejar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>gustar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>bailar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>that</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>seguir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>olvidar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>pensar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pasar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>mirar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>like</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>poner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>enamorar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>vivir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>llorar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>pagar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>volar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>deber</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>encantar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>not</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>nene</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>levantar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>aguantar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>haz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>desear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>heh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>were</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>make</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>tratar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>pegar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>existir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>amanecer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>imaginar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>when</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>regresar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>caminar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>prender</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>contar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>cant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>dale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>tirar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>dormir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>vestir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>hacerte</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>129 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Parts of Speech\n",
       "0               ser\n",
       "1            querer\n",
       "2             haber\n",
       "3                ir\n",
       "4             estar\n",
       "5             tener\n",
       "6             hacer\n",
       "7               ver\n",
       "8             decir\n",
       "9             poder\n",
       "10              dar\n",
       "11           sentir\n",
       "12            saber\n",
       "13           volver\n",
       "14             amar\n",
       "15            dejar\n",
       "16           gustar\n",
       "17           bailar\n",
       "18             that\n",
       "19           seguir\n",
       "20          olvidar\n",
       "21           pensar\n",
       "22               ft\n",
       "23            pasar\n",
       "24            mirar\n",
       "25             like\n",
       "26            poner\n",
       "27         enamorar\n",
       "28            vivir\n",
       "29           llorar\n",
       "..              ...\n",
       "99            pagar\n",
       "100           volar\n",
       "101           deber\n",
       "102        encantar\n",
       "103             not\n",
       "104            nene\n",
       "105        levantar\n",
       "106        aguantar\n",
       "107             haz\n",
       "108          desear\n",
       "109             heh\n",
       "110            were\n",
       "111            make\n",
       "112          tratar\n",
       "113           pegar\n",
       "114         existir\n",
       "115        amanecer\n",
       "116        imaginar\n",
       "117            when\n",
       "118        regresar\n",
       "119         caminar\n",
       "120         prender\n",
       "121           night\n",
       "122          contar\n",
       "123            cant\n",
       "124            dale\n",
       "125           tirar\n",
       "126          dormir\n",
       "127          vestir\n",
       "128         hacerte\n",
       "\n",
       "[129 rows x 1 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "verb_new_1 = pd.DataFrame()\n",
    "verb_new_2 = pd.DataFrame()\n",
    "\n",
    "if verbs_2.shape[0] > 6704: # len(df) > 10 would also work\n",
    "    verb_new_1 = verbs_2[:129]\n",
    "    verb_new_2 = verbs_2[129:]\n",
    "    \n",
    "verb_new_1.columns = ['Parts of Speech']\n",
    "verb_new_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
       "      <td>más</td>\n",
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       "      <th>5</th>\n",
       "      <td>solo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ahora</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>bien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>siempre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>mas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>aquí</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>hoy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>tan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>on</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>dime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>nunca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>baby</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mejor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>loco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>también</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>muy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>sólo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>feliz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>yeah</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>oh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>sola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>na</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>loca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>outro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>feat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>is</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>pura</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>casi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>poquito</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>them</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>feel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>entonces</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>viejo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>ex</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>life</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>lento</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>único</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>that</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>imposible</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>hermosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>pidas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>bésame</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>verse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>primero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>jon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>perdido</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>solos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>tonight</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>caliente</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>nena</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>have</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>pasado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>criminal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>decirte</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>única</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>154 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Parts of Speech\n",
       "0                no\n",
       "1                ya\n",
       "2               más\n",
       "3             verso\n",
       "4               así\n",
       "5              solo\n",
       "6             ahora\n",
       "7              bien\n",
       "8           siempre\n",
       "9               mas\n",
       "10             aquí\n",
       "11              hoy\n",
       "12              tan\n",
       "13               on\n",
       "14             dime\n",
       "15            nunca\n",
       "16             baby\n",
       "17            mejor\n",
       "18             loco\n",
       "19          también\n",
       "20              muy\n",
       "21             sólo\n",
       "22            feliz\n",
       "23             yeah\n",
       "24               oh\n",
       "25             sola\n",
       "26               na\n",
       "27             loca\n",
       "28            outro\n",
       "29             feat\n",
       "..              ...\n",
       "124              is\n",
       "125            pura\n",
       "126            casi\n",
       "127         poquito\n",
       "128            them\n",
       "129            feel\n",
       "130        entonces\n",
       "131           viejo\n",
       "132              ex\n",
       "133            life\n",
       "134           lento\n",
       "135           único\n",
       "136            that\n",
       "137       imposible\n",
       "138         hermosa\n",
       "139           pidas\n",
       "140          bésame\n",
       "141           verse\n",
       "142         primero\n",
       "143             jon\n",
       "144         perdido\n",
       "145           solos\n",
       "146         tonight\n",
       "147        caliente\n",
       "148            nena\n",
       "149            have\n",
       "150          pasado\n",
       "151        criminal\n",
       "152         decirte\n",
       "153           única\n",
       "\n",
       "[154 rows x 1 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ads_new_1 = pd.DataFrame()\n",
    "ads_new_2 = pd.DataFrame()\n",
    "\n",
    "if ads_2.shape[0] > 8021: # len(df) > 10 would also work\n",
    "    ads_new_1 = ads_2[:154]\n",
    "    ads_new_2 = ads_2[154:]\n",
    "    \n",
    "ads_new_1.columns = ['Parts of Speech']\n",
    "ads_new_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parts of Speech</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>de</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>la</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>el</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>en</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>mi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>un</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>por</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>con</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>lo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>los</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>una</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Parts of Speech\n",
       "0               de\n",
       "1                a\n",
       "2               la\n",
       "3               el\n",
       "4               en\n",
       "5               tu\n",
       "6               mi\n",
       "7               un\n",
       "8              por\n",
       "9              con\n",
       "10              lo\n",
       "11             los\n",
       "12              pa\n",
       "13             una"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stops_new_1 = pd.DataFrame()\n",
    "stops_new_2 = pd.DataFrame()\n",
    "\n",
    "if stops_2.shape[0] > 732: # len(df) > 10 would also work\n",
    "    stops_new_1 = stops_2[:14]\n",
    "    stops_new_2 = stops_2[14:]\n",
    "    \n",
    "stops_new_1.columns = ['Parts of Speech']\n",
    "stops_new_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parts of Speech</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>me</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>te</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>que</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>yo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>se</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tú</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>lo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ti</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>le</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Parts of Speech\n",
       "0              me\n",
       "1              te\n",
       "2             que\n",
       "3              yo\n",
       "4              se\n",
       "5              tú\n",
       "6              lo\n",
       "7              ti\n",
       "8              le"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pros_new_1 = pd.DataFrame()\n",
    "pros_new_2 = pd.DataFrame()\n",
    "\n",
    "if pronouns_2.shape[0] > 444: # len(df) > 10 would also work\n",
    "    pros_new_1 = pronouns_2[:9]\n",
    "    pros_new_2 = pronouns_2[9:]\n",
    "    \n",
    "pros_new_1.columns = ['Parts of Speech']\n",
    "pros_new_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Parts of Speech</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>como</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cuando</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>porque</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>aunque</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Parts of Speech\n",
       "0            como\n",
       "1          cuando\n",
       "2            pero\n",
       "3          porque\n",
       "4          aunque"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words = {'Parts of Speech':['como','cuando','pero','porque','aunque']}\n",
    "conjs = df = pd.DataFrame(data=words)\n",
    "conjs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>amor</td>\n",
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       "      <th>1</th>\n",
       "      <td>oh</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>vida</td>\n",
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       "      <th>3</th>\n",
       "      <td>coro</td>\n",
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       "      <th>4</th>\n",
       "      <td>vez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>corazón</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>noche</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>día</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>cuerpo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>tiempo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>mundo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>shaky</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>letra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>mami</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>besar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>mujer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>x</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ojo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>beso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>lado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>precoro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>coser</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>piel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>feat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>cama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>alma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>casar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ganar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>mirar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>decirte</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>única</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>de</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>la</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>el</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>en</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>tu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>mi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>un</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>por</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>con</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>lo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>los</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>pa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>una</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>me</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>te</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>que</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>yo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>se</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>tú</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>lo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>ti</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>le</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>como</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>cuando</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>pero</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>porque</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>aunque</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Parts of Speech\n",
       "0              amor\n",
       "1                oh\n",
       "2              vida\n",
       "3              coro\n",
       "4               vez\n",
       "5           corazón\n",
       "6             noche\n",
       "7               día\n",
       "8            cuerpo\n",
       "9            tiempo\n",
       "10            mundo\n",
       "11            shaky\n",
       "12            letra\n",
       "13             mami\n",
       "14            besar\n",
       "15              ser\n",
       "16            mujer\n",
       "17                x\n",
       "18              ojo\n",
       "19             beso\n",
       "20             lado\n",
       "21          precoro\n",
       "22            coser\n",
       "23             piel\n",
       "24             feat\n",
       "25             cama\n",
       "26             alma\n",
       "27            casar\n",
       "28            ganar\n",
       "29            mirar\n",
       "..              ...\n",
       "470         decirte\n",
       "471           única\n",
       "472              de\n",
       "473               a\n",
       "474              la\n",
       "475              el\n",
       "476              en\n",
       "477              tu\n",
       "478              mi\n",
       "479              un\n",
       "480             por\n",
       "481             con\n",
       "482              lo\n",
       "483             los\n",
       "484              pa\n",
       "485             una\n",
       "486              me\n",
       "487              te\n",
       "488             que\n",
       "489              yo\n",
       "490              se\n",
       "491              tú\n",
       "492              lo\n",
       "493              ti\n",
       "494              le\n",
       "495            como\n",
       "496          cuando\n",
       "497            pero\n",
       "498          porque\n",
       "499          aunque\n",
       "\n",
       "[500 rows x 1 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "speech = pd.concat([noun_new_1, verb_new_1, ads_new_1,stops_new_1,pros_new_1,conjs], ignore_index=True)\n",
    "speech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "speech.to_excel('Top 500 Spanish POS.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>abajo</th>\n",
       "      <th>acabar</th>\n",
       "      <th>además</th>\n",
       "      <th>adiós</th>\n",
       "      <th>agua</th>\n",
       "      <th>ah</th>\n",
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       "      <th>ahí</th>\n",
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       "      <th>único</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Lyrics 250</th>\n",
       "      <td>6.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>244.0</td>\n",
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       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24</td>\n",
       "      <td>10.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spanish Key</th>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>158.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73</td>\n",
       "      <td>188.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>29</td>\n",
       "      <td>135.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lyrics 100</th>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Text Corpus 1</th>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>33</td>\n",
       "      <td>55.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Text Corpus 2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parts of Speech</th>\n",
       "      <td>NaN</td>\n",
       "      <td>197.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.0</td>\n",
       "      <td>168</td>\n",
       "      <td>188.0</td>\n",
       "      <td>93.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
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       "      <td>163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "</table>\n",
       "<p>6 rows × 499 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   a  abajo  acabar  además  adiós   agua     ah  ahora  \\\n",
       "Lyrics 250       6.0  241.0     NaN     NaN  244.0    NaN    NaN     62   \n",
       "Spanish Key      5.0    NaN     NaN   158.0    NaN  192.0    NaN     73   \n",
       "Lyrics 100       6.0    NaN     NaN     NaN    NaN    NaN    NaN     62   \n",
       "Text Corpus 1    6.0    NaN     NaN     NaN    NaN    NaN    NaN     72   \n",
       "Text Corpus 2    5.0    NaN     NaN     NaN    NaN    NaN    NaN     86   \n",
       "Parts of Speech  NaN  197.0   154.0     NaN   79.0    NaN  190.0    168   \n",
       "\n",
       "                   ahí  aire  ...     voy   voz    y   ya     yo      à  \\\n",
       "Lyrics 250       190.0   NaN  ...    48.0   NaN  1.0   24   10.0  173.0   \n",
       "Spanish Key      188.0   NaN  ...     NaN   NaN  4.0   29  135.0    NaN   \n",
       "Lyrics 100         NaN   NaN  ...    48.0   NaN  1.0   24   10.0    NaN   \n",
       "Text Corpus 1      NaN   NaN  ...     NaN   NaN  5.0   33   55.0    NaN   \n",
       "Text Corpus 2      NaN   NaN  ...     NaN   NaN  4.0   36   52.0    NaN   \n",
       "Parts of Speech  188.0  93.0  ...     NaN  57.0  NaN  163    NaN    NaN   \n",
       "\n",
       "                    él   éste  último  único  \n",
       "Lyrics 250       166.0    NaN     NaN    NaN  \n",
       "Spanish Key      133.0  167.0   126.0  180.0  \n",
       "Lyrics 100         NaN    NaN     NaN    NaN  \n",
       "Text Corpus 1     65.0    NaN     NaN    NaN  \n",
       "Text Corpus 2     41.0    NaN     NaN    NaN  \n",
       "Parts of Speech    NaN    NaN     NaN    NaN  \n",
       "\n",
       "[6 rows x 499 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_speech = construct_bag_of_words(speech['Parts of Speech'])\n",
    "bow_updated = pd.DataFrame([bag_of_words_250, bag_of_spanish_key, bag_of_words_100, bag_of_corp_1, bag_of_corp_2, bag_of_speech])\n",
    "bow_updated.rename(index={0:'Lyrics 250',1:'Spanish Key',2:'Lyrics 100',3:'Text Corpus 1',4:'Text Corpus 2',5:'Parts of Speech'}, inplace=True)\n",
    "bow_updated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>Spanish Key</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>6.0</td>\n",
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       "      <td>5.0</td>\n",
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       "      <th>abajo</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>adiós</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agua</th>\n",
       "      <td>NaN</td>\n",
       "      <td>192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ah</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ahora</th>\n",
       "      <td>62.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>168.0</td>\n",
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       "    <tr>\n",
       "      <th>ahí</th>\n",
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       "      <td>188.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aire</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>al</th>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>algo</th>\n",
       "      <td>164.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alguien</th>\n",
       "      <td>228.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alguno</th>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allá</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>230.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allí</th>\n",
       "      <td>NaN</td>\n",
       "      <td>166.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alma</th>\n",
       "      <td>146.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alto</th>\n",
       "      <td>NaN</td>\n",
       "      <td>184.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amar</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amarte</th>\n",
       "      <td>207.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amigar</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amigo</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amo</th>\n",
       "      <td>141.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amor</th>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>andar</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ante</th>\n",
       "      <td>NaN</td>\n",
       "      <td>233.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>antes</th>\n",
       "      <td>235.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>194.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aparecer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>218.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aquel</th>\n",
       "      <td>NaN</td>\n",
       "      <td>95.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aquí</th>\n",
       "      <td>73.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vaivén</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vamo</th>\n",
       "      <td>214.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vamos</th>\n",
       "      <td>131.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>varios</th>\n",
       "      <td>NaN</td>\n",
       "      <td>221.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vas</th>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ven</th>\n",
       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>venir</th>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veo</th>\n",
       "      <td>189.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ver</th>\n",
       "      <td>113.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>verdad</th>\n",
       "      <td>148.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versar</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>verse</th>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>verso</th>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>verte</th>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vez</th>\n",
       "      <td>67.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vida</th>\n",
       "      <td>39.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>viento</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vivir</th>\n",
       "      <td>188.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vivo</th>\n",
       "      <td>238.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>volver</th>\n",
       "      <td>239.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>voy</th>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>voz</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ya</th>\n",
       "      <td>24.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yo</th>\n",
       "      <td>10.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>à</th>\n",
       "      <td>173.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>él</th>\n",
       "      <td>166.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>éste</th>\n",
       "      <td>NaN</td>\n",
       "      <td>167.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>último</th>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>único</th>\n",
       "      <td>NaN</td>\n",
       "      <td>180.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>499 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lyrics 250  Spanish Key  Lyrics 100  Text Corpus 1  Text Corpus 2  \\\n",
       "a                6.0          5.0         6.0            6.0            5.0   \n",
       "abajo          241.0          NaN         NaN            NaN            NaN   \n",
       "acabar           NaN          NaN         NaN            NaN            NaN   \n",
       "además           NaN        158.0         NaN            NaN            NaN   \n",
       "adiós          244.0          NaN         NaN            NaN            NaN   \n",
       "agua             NaN        192.0         NaN            NaN            NaN   \n",
       "ah               NaN          NaN         NaN            NaN            NaN   \n",
       "ahora           62.0         73.0        62.0           72.0           86.0   \n",
       "ahí            190.0        188.0         NaN            NaN            NaN   \n",
       "aire             NaN          NaN         NaN            NaN            NaN   \n",
       "al              35.0          NaN        35.0           19.0            NaN   \n",
       "algo           164.0         89.0         NaN            NaN            NaN   \n",
       "alguien        228.0          NaN         NaN            NaN            NaN   \n",
       "alguno           NaN         41.0         NaN            NaN           50.0   \n",
       "allá             NaN          NaN         NaN            NaN            NaN   \n",
       "allí             NaN        166.0         NaN            NaN            NaN   \n",
       "alma           146.0          NaN         NaN            NaN            NaN   \n",
       "alto             NaN        184.0         NaN            NaN            NaN   \n",
       "amar             NaN          NaN         NaN            NaN            NaN   \n",
       "amarte         207.0          NaN         NaN            NaN            NaN   \n",
       "amigar           NaN          NaN         NaN            NaN            NaN   \n",
       "amigo            NaN          NaN         NaN            NaN            NaN   \n",
       "amo            141.0          NaN         NaN            NaN            NaN   \n",
       "amor            21.0          NaN        21.0            NaN            NaN   \n",
       "andar            NaN          NaN         NaN            NaN            NaN   \n",
       "ante             NaN        233.0         NaN            NaN            NaN   \n",
       "antes          235.0        102.0         NaN            NaN            NaN   \n",
       "aparecer         NaN        218.0         NaN            NaN            NaN   \n",
       "aquel            NaN         95.0         NaN            NaN            NaN   \n",
       "aquí            73.0        117.0        73.0            NaN            NaN   \n",
       "...              ...          ...         ...            ...            ...   \n",
       "vaivén           NaN          NaN         NaN            NaN            NaN   \n",
       "vamo           214.0          NaN         NaN            NaN            NaN   \n",
       "vamos          131.0          NaN         NaN            NaN            NaN   \n",
       "varios           NaN        221.0         NaN            NaN            NaN   \n",
       "vas             81.0          NaN        81.0            NaN            NaN   \n",
       "ven             79.0          NaN        79.0            NaN            NaN   \n",
       "venir            NaN         93.0         NaN            NaN            NaN   \n",
       "veo            189.0          NaN         NaN            NaN            NaN   \n",
       "ver            113.0         30.0         NaN            NaN           37.0   \n",
       "verdad         148.0        206.0         NaN            NaN            NaN   \n",
       "versar           NaN          NaN         NaN            NaN            NaN   \n",
       "verse          120.0          NaN         NaN            NaN            NaN   \n",
       "verso           52.0          NaN        52.0            NaN            NaN   \n",
       "verte          202.0          NaN         NaN            NaN            NaN   \n",
       "vez             67.0         36.0        67.0           57.0           44.0   \n",
       "vida            39.0         76.0        39.0           75.0           89.0   \n",
       "viento           NaN          NaN         NaN            NaN            NaN   \n",
       "vivir          188.0        116.0         NaN            NaN            NaN   \n",
       "vivo           238.0          NaN         NaN            NaN            NaN   \n",
       "volver         239.0        100.0         NaN            NaN            NaN   \n",
       "voy             48.0          NaN        48.0            NaN            NaN   \n",
       "voz              NaN          NaN         NaN            NaN            NaN   \n",
       "y                1.0          4.0         1.0            5.0            4.0   \n",
       "ya              24.0         29.0        24.0           33.0           36.0   \n",
       "yo              10.0        135.0        10.0           55.0           52.0   \n",
       "à              173.0          NaN         NaN            NaN            NaN   \n",
       "él             166.0        133.0         NaN           65.0           41.0   \n",
       "éste             NaN        167.0         NaN            NaN            NaN   \n",
       "último           NaN        126.0         NaN            NaN            NaN   \n",
       "único            NaN        180.0         NaN            NaN            NaN   \n",
       "\n",
       "          Parts of Speech  \n",
       "a                     NaN  \n",
       "abajo               197.0  \n",
       "acabar              154.0  \n",
       "además                NaN  \n",
       "adiós                79.0  \n",
       "agua                  NaN  \n",
       "ah                  190.0  \n",
       "ahora               168.0  \n",
       "ahí                 188.0  \n",
       "aire                 93.0  \n",
       "al                    NaN  \n",
       "algo                  NaN  \n",
       "alguien               NaN  \n",
       "alguno                NaN  \n",
       "allá                230.0  \n",
       "allí                  NaN  \n",
       "alma                 16.0  \n",
       "alto                  NaN  \n",
       "amar                113.0  \n",
       "amarte                NaN  \n",
       "amigar               97.0  \n",
       "amigo                36.0  \n",
       "amo                   NaN  \n",
       "amor                  0.0  \n",
       "andar               140.0  \n",
       "ante                  NaN  \n",
       "antes               194.0  \n",
       "aparecer              NaN  \n",
       "aquel                 NaN  \n",
       "aquí                172.0  \n",
       "...                   ...  \n",
       "vaivén               70.0  \n",
       "vamo                  NaN  \n",
       "vamos                 NaN  \n",
       "varios                NaN  \n",
       "vas                   NaN  \n",
       "ven                   NaN  \n",
       "venir               132.0  \n",
       "veo                   NaN  \n",
       "ver                 106.0  \n",
       "verdad               19.0  \n",
       "versar              146.0  \n",
       "verse                 NaN  \n",
       "verso               165.0  \n",
       "verte                42.0  \n",
       "vez                   2.0  \n",
       "vida                  1.0  \n",
       "viento               82.0  \n",
       "vivir               124.0  \n",
       "vivo                215.0  \n",
       "volver              112.0  \n",
       "voy                   NaN  \n",
       "voz                  57.0  \n",
       "y                     NaN  \n",
       "ya                  163.0  \n",
       "yo                    NaN  \n",
       "à                     NaN  \n",
       "él                    NaN  \n",
       "éste                  NaN  \n",
       "último                NaN  \n",
       "único                 NaN  \n",
       "\n",
       "[499 rows x 6 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bow_Updated = bow_updated.transpose()\n",
    "bow_Updated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "bow_Updated.to_excel(\"Corpora_Comparison_updated.xlsx\", sheet_name=\"Sheet1\", index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "bag_of_speech = construct_bag_of_words(speech['Parts of Speech'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ahora',\n",
       " 'ahí',\n",
       " 'antes',\n",
       " 'aquí',\n",
       " 'así',\n",
       " 'año',\n",
       " 'bien',\n",
       " 'bueno',\n",
       " 'buscar',\n",
       " 'caer',\n",
       " 'cambiar',\n",
       " 'creer',\n",
       " 'cuerpo',\n",
       " 'dar',\n",
       " 'decir',\n",
       " 'dejar',\n",
       " 'dentro',\n",
       " 'después',\n",
       " 'día',\n",
       " 'empezar',\n",
       " 'encontrar',\n",
       " 'entender',\n",
       " 'esperar',\n",
       " 'estar',\n",
       " 'fin',\n",
       " 'gente',\n",
       " 'grande',\n",
       " 'haber',\n",
       " 'hablar',\n",
       " 'hacer',\n",
       " 'historia',\n",
       " 'hombre',\n",
       " 'hora',\n",
       " 'hoy',\n",
       " 'igual',\n",
       " 'ir',\n",
       " 'lado',\n",
       " 'llamar',\n",
       " 'llegar',\n",
       " 'llevar',\n",
       " 'luego',\n",
       " 'lugar',\n",
       " 'manera',\n",
       " 'mano',\n",
       " 'mejor',\n",
       " 'menos',\n",
       " 'mirar',\n",
       " 'momento',\n",
       " 'mucho',\n",
       " 'mujer',\n",
       " 'mundo',\n",
       " 'muy',\n",
       " 'más',\n",
       " 'necesitar',\n",
       " 'niño',\n",
       " 'no',\n",
       " 'noche',\n",
       " 'nuevo',\n",
       " 'nunca',\n",
       " 'ojo',\n",
       " 'palabra',\n",
       " 'parecer',\n",
       " 'pasar',\n",
       " 'pedir',\n",
       " 'pensar',\n",
       " 'perder',\n",
       " 'poco',\n",
       " 'poder',\n",
       " 'poner',\n",
       " 'quedar',\n",
       " 'querer',\n",
       " 'razón',\n",
       " 'saber',\n",
       " 'salir',\n",
       " 'seguir',\n",
       " 'sentir',\n",
       " 'ser',\n",
       " 'señor',\n",
       " 'siempre',\n",
       " 'solo',\n",
       " 'sí',\n",
       " 'sólo',\n",
       " 'también',\n",
       " 'tan',\n",
       " 'tanto',\n",
       " 'tener',\n",
       " 'tiempo',\n",
       " 'todavía',\n",
       " 'tomar',\n",
       " 'venir',\n",
       " 'ver',\n",
       " 'verdad',\n",
       " 'vez',\n",
       " 'vida',\n",
       " 'vivir',\n",
       " 'volver',\n",
       " 'ya'}"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_speech.keys() & bag_of_spanish_key.keys() #105 commonalities between lyrics and key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'abajo',\n",
       " 'acabar',\n",
       " 'adiós',\n",
       " 'ah',\n",
       " 'aire',\n",
       " 'allá',\n",
       " 'alma',\n",
       " 'amar',\n",
       " 'amigar',\n",
       " 'amigo',\n",
       " 'amor',\n",
       " 'andar',\n",
       " 'arriba',\n",
       " 'asi',\n",
       " 'atrás',\n",
       " 'aun',\n",
       " 'aventurar',\n",
       " 'ayer',\n",
       " 'aún',\n",
       " 'bailar',\n",
       " 'bebé',\n",
       " 'bella',\n",
       " 'besar',\n",
       " 'beso',\n",
       " 'boca',\n",
       " 'bonita',\n",
       " 'botella',\n",
       " 'brazo',\n",
       " 'buen',\n",
       " 'buena',\n",
       " 'cabeza',\n",
       " 'calor',\n",
       " 'cama',\n",
       " 'canción',\n",
       " 'caricia',\n",
       " 'caro',\n",
       " 'cielo',\n",
       " 'cintura',\n",
       " 'claro',\n",
       " 'corazón',\n",
       " 'dale',\n",
       " 'dame',\n",
       " 'destinar',\n",
       " 'dime',\n",
       " 'dios',\n",
       " 'disco',\n",
       " 'doler',\n",
       " 'dolor',\n",
       " 'dominio',\n",
       " 'dudar',\n",
       " 'dueño',\n",
       " 'dura',\n",
       " 'duro',\n",
       " 'déjame',\n",
       " 'enamorado',\n",
       " 'enamorar',\n",
       " 'entregar',\n",
       " 'escuchar',\n",
       " 'estrellar',\n",
       " 'falto',\n",
       " 'favor',\n",
       " 'feliz',\n",
       " 'fiesta',\n",
       " 'final',\n",
       " 'flor',\n",
       " 'frente',\n",
       " 'fuego',\n",
       " 'fuerte',\n",
       " 'fácil',\n",
       " 'gustar',\n",
       " 'iglesia',\n",
       " 'importar',\n",
       " 'junto',\n",
       " 'juro',\n",
       " 'labio',\n",
       " 'llorar',\n",
       " 'loca',\n",
       " 'loco',\n",
       " 'locura',\n",
       " 'luna',\n",
       " 'luz',\n",
       " 'mal',\n",
       " 'mala',\n",
       " 'mami',\n",
       " 'mar',\n",
       " 'mas',\n",
       " 'matar',\n",
       " 'mañana',\n",
       " 'mente',\n",
       " 'mentira',\n",
       " 'miedo',\n",
       " 'mio',\n",
       " 'morir',\n",
       " 'movimiento',\n",
       " 'muero',\n",
       " 'muerte',\n",
       " 'músico',\n",
       " 'na',\n",
       " 'nombrar',\n",
       " 'novio',\n",
       " 'olvidar',\n",
       " 'outro',\n",
       " 'pasión',\n",
       " 'pelar',\n",
       " 'perdón',\n",
       " 'piel',\n",
       " 'precoro',\n",
       " 'primera',\n",
       " 'puente',\n",
       " 'rato',\n",
       " 'real',\n",
       " 'ritmar',\n",
       " 'romper',\n",
       " 'ropa',\n",
       " 'rumba',\n",
       " 'santos',\n",
       " 'sentimiento',\n",
       " 'sol',\n",
       " 'sola',\n",
       " 'solamente',\n",
       " 'sonrisa',\n",
       " 'soñar',\n",
       " 'subir',\n",
       " 'suerte',\n",
       " 'sueño',\n",
       " 'sufrir',\n",
       " 'tenerte',\n",
       " 'tocar',\n",
       " 'traer',\n",
       " 'vaivén',\n",
       " 'versar',\n",
       " 'verso',\n",
       " 'verte',\n",
       " 'viento',\n",
       " 'vivo',\n",
       " 'voz'}"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_speech.keys() - bag_of_spanish_key.keys() #165 differences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'además',\n",
       " 'agua',\n",
       " 'algo',\n",
       " 'alguno',\n",
       " 'allí',\n",
       " 'alto',\n",
       " 'ante',\n",
       " 'aparecer',\n",
       " 'aquel',\n",
       " 'aunque',\n",
       " 'bajo',\n",
       " 'blanco',\n",
       " 'cada',\n",
       " 'calle',\n",
       " 'cambio',\n",
       " 'casa',\n",
       " 'casi',\n",
       " 'caso',\n",
       " 'cierto',\n",
       " 'cinco',\n",
       " 'ciudad',\n",
       " 'comenzar',\n",
       " 'como',\n",
       " 'con',\n",
       " 'conocer',\n",
       " 'conseguir',\n",
       " 'contar',\n",
       " 'contra',\n",
       " 'cosa',\n",
       " 'cual',\n",
       " 'cualquier',\n",
       " 'cuando',\n",
       " 'cuanto',\n",
       " 'cuatro',\n",
       " 'cuenta',\n",
       " 'cómo',\n",
       " 'de',\n",
       " 'deber',\n",
       " 'desde',\n",
       " 'donde',\n",
       " 'dos',\n",
       " 'durante',\n",
       " 'ejemplo',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'embargo',\n",
       " 'en',\n",
       " 'entonces',\n",
       " 'entrar',\n",
       " 'entre',\n",
       " 'escribir',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'este',\n",
       " 'esto',\n",
       " 'existir',\n",
       " 'familia',\n",
       " 'forma',\n",
       " 'general',\n",
       " 'grupo',\n",
       " 'hacia',\n",
       " 'hasta',\n",
       " 'hecho',\n",
       " 'hijo',\n",
       " 'humano',\n",
       " 'idea',\n",
       " 'importante',\n",
       " 'la',\n",
       " 'largo',\n",
       " 'le',\n",
       " 'leer',\n",
       " 'lo',\n",
       " 'mantener',\n",
       " 'mayor',\n",
       " 'me',\n",
       " 'medio',\n",
       " 'mes',\n",
       " 'mi',\n",
       " 'mientras',\n",
       " 'mil',\n",
       " 'mismo',\n",
       " 'modo',\n",
       " 'nada',\n",
       " 'nadie',\n",
       " 'ni',\n",
       " 'ninguno',\n",
       " 'nombre',\n",
       " 'nos',\n",
       " 'nosotros',\n",
       " 'nuestro',\n",
       " 'o',\n",
       " 'obra',\n",
       " 'ocurrir',\n",
       " 'otro',\n",
       " 'padre',\n",
       " 'para',\n",
       " 'parte',\n",
       " 'país',\n",
       " 'pequeño',\n",
       " 'permitir',\n",
       " 'pero',\n",
       " 'persona',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'posible',\n",
       " 'presentar',\n",
       " 'primero',\n",
       " 'principio',\n",
       " 'problema',\n",
       " 'producir',\n",
       " 'propio',\n",
       " 'pueblo',\n",
       " 'pues',\n",
       " 'punto',\n",
       " 'que',\n",
       " 'quien',\n",
       " 'qué',\n",
       " 'realidad',\n",
       " 'recibir',\n",
       " 'recordar',\n",
       " 'relación',\n",
       " 'resultar',\n",
       " 'sacar',\n",
       " 'se',\n",
       " 'segundo',\n",
       " 'servir',\n",
       " 'si',\n",
       " 'sin',\n",
       " 'sino',\n",
       " 'sobre',\n",
       " 'su',\n",
       " 'tal',\n",
       " 'tarde',\n",
       " 'te',\n",
       " 'terminar',\n",
       " 'tipo',\n",
       " 'todo',\n",
       " 'trabajar',\n",
       " 'trabajo',\n",
       " 'tratar',\n",
       " 'tres',\n",
       " 'un',\n",
       " 'uno',\n",
       " 'varios',\n",
       " 'y',\n",
       " 'yo',\n",
       " 'él',\n",
       " 'éste',\n",
       " 'último',\n",
       " 'único'}"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bag_of_spanish_key.keys() - bag_of_speech.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_comp = pd.read_excel('List comparison.xlsx',sheet_name='Sheet1')\n",
    "list_comp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Qualitative Review of List Comparison:\n",
    "   - There are only 105 word similarities between the 250 Lyrics corpus and the original 250 Spanish key and 149 word differences. Based on word frequency, the lists are not very similar. \n",
    "   - The Lyrics corpus had to be cleaned to exclude English words, numbers, proper names, and some slang. This corpus did not include lemmatized nouns and verbs, thus containing similar and/or repatiitve words and meanings. The Lyrics corpus also contains a handful of nouns that refer to sex, love, and relationships (as was expected and supports the hypothesis). For exmaple, heart, love, lips, body, kiss, mouth, bed, etc. This accounted for roughly 25 of the 149 difference in the Lyrics corpus (16.7%).\n",
    "   - What was excluded from the Spanish key were primarily verbs. The Spanish key included 56 verbs out of the 147 word difference (38%) that were not present in the 250 word Lyrics corpus. This supports the hypothesis that the Spanish key was compiled from/for a classroom-style learning format. \n",
    "   - When the two Spanish word corpora were compared, out of 100 words, the two lists contianed 34 different words (34% or 1/3 of the lists). Comparing the differences was more revealing than the similarities. The Spanish word corpus 1 did not have its verbs lemmatized into the infinitive form, thus containing multiple tenses and conjugations. The Spanish word corpus 2 contained only verb infinitives, and 22 of the 36 differences were verb infinitives (61% or two thirds). \n",
    "   - Comparing the 100 word Lyrics corpus to the Spanish word corpus 1, thw two lists had 59 similarities. The main differences were nouns, same as mentioned above. Interestingly, the Spanish word corpus 1 had nouns such as government and country, words found in the news or formal writing. \n",
    "   - The 100 word Lyrics corpus was less similar to the Spanish word corpus 2, containing 49 similarities. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Updated Hypothesis:\n",
    "- Compiling lyrics will render a useful set of 250-300 most commonly used Spanish words \n",
    "    - >UPDATED: The Lyrics corpus was expanded to a comprehensive list of 500 common Spanish words roken down into lemmatized nouns, lemmatized verbs, stopwords, pronouns, adjectives and adverbs, and conjuctions by their percent frequency found in the total lyrics word corpus.  \n",
    "- The assumption is that the lyrics corpus will have limitations, namely that it does not include nouns that are esential for traveling - ordering food, transportation, greetings, etc. These topics will need to be learned in addition to the list if traveling to a Spanish speaking country, but not necessarily relevant to having a conversation with a Spanish speaker. \n",
    "    - >UPDATED: True. Additional nouns would be beneficial for travel, but not necessarily in conversations with Spanish speakers.\n",
    "- The lyrics corpus will have a greater percent of words related to love, sex, and relationships, as that its often the topic of songs. \n",
    "    - >UPDATED: True. This remains important as conversational topic. \n",
    "    \n",
    "RESULT:\n",
    "- Start studying the 500 Spanish word list today."
   ]
  }
 ],
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