topic_modelling.ipynb

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      "name": "topic_modelling.ipynb",
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/letpires/nlp_manchetes_brasileiras/blob/main/topic_modelling.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "asLRfmSinGpA"
      },
      "source": [
        "##Como executar este notebook?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FCSqgltLnLSp"
      },
      "source": [
        "Para executar este notebook, é necessário fazer upload do arquivo disponível no mesmo repositório, chamado: 'manchetesBrasildatabase.csv' "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hokcp6epnDKc"
      },
      "source": [
        "##Conceito"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EgswzZq0p6k9"
      },
      "source": [
        "Modelagem de tópicos é uma técnica para extrair os tópicos ocultos de grandes volumes de texto. Latent Dirichlet Allocation (LDA) é um algoritmo popular para modelagem de tópicos com excelentes implementações no pacote Gensim do Python. O desafio, no entanto, é como extrair tópicos de boa qualidade que sejam claros, segregados e significativos . Isso depende muito da qualidade do pré-processamento do texto e da estratégia de encontrar o número ideal de tópicos.\n",
        "\n",
        "Uma das principais aplicações do processamento de linguagem natural é extrair automaticamente quais tópicos as pessoas estão discutindo de grandes volumes de texto. Alguns exemplos de texto grande podem ser feeds de mídia social, avaliações de clientes de hotéis, filmes, etc., feedbacks de usuários, notícias, e-mails de reclamações de clientes, etc.\n",
        "\n",
        "Saber o que as pessoas estão falando e compreender seus problemas e opiniões é altamente valioso para empresas, administradores e campanhas políticas. E é realmente difícil ler manualmente em volumes tão grandes e compilar os tópicos.\n",
        "\n",
        "Portanto, é necessário um algoritmo automatizado que possa ler os documentos de texto e gerar automaticamente os tópicos discutidos."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y4fBTy4Fqale"
      },
      "source": [
        "##Importações "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MIu-BO81fHnY",
        "outputId": "4a178ffd-7919-43bf-ea17-102442bf6b5d"
      },
      "source": [
        "import re\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from pprint import pprint\n",
        "import unicodedata\n",
        "\n",
        "# Importando a library Natural Language Toolkit - NLTK para tratamento de linguagem natural.\n",
        "import nltk\n",
        "nltk.download('wordnet')\n",
        "nltk.download('punkt')\n",
        "\n",
        "#Importando as stopwords\n",
        "from nltk.corpus import stopwords\n",
        "nltk.download('stopwords')\n",
        "language = 'portuguese'\n",
        "\n",
        "stopwords = stopwords.words(language)\n",
        "stopwords = list(set(stopwords))\n",
        "\n",
        "#Gensim\n",
        "import gensim\n",
        "import gensim.corpora as corpora\n",
        "from gensim.utils import simple_preprocess\n",
        "from gensim.models import CoherenceModel\n",
        "\n",
        "#Plotagem\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.colors as mcolors\n",
        "from wordcloud import WordCloud, STOPWORDS\n",
        "%matplotlib inline\n",
        "\n",
        "\n",
        "import logging\n",
        "logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.ERROR)\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\",category=DeprecationWarning)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lxpugFLUfO48"
      },
      "source": [
        "#Adicionando novas stopwords em português\n",
        "stopwords = nltk.corpus.stopwords.words('portuguese')\n",
        "stopwords.append('ja')\n",
        "stopwords.append('viu')\n",
        "stopwords.append('vai')\n",
        "stopwords.append('ne')\n",
        "stopwords.append('ai')\n",
        "stopwords.append('ta')\n",
        "stopwords.append('gente')\n",
        "stopwords.append('nao')\n",
        "stopwords.append('aqui')\n",
        "stopwords.append('tambem')\n",
        "stopwords.append('vc')\n",
        "stopwords.append('voce')\n",
        "stopwords.append('entao')\n",
        "stopwords.append('ate')\n",
        "stopwords.append('agora')\n",
        "stopwords.append('ser')\n",
        "stopwords.append('sempre')\n",
        "stopwords.append('ter')\n",
        "stopwords.append('so')\n",
        "stopwords.append('porque')\n",
        "stopwords.append('sobre')\n",
        "stopwords.append('ainda')\n",
        "stopwords.append('la')\n",
        "stopwords.append('tudo')\n",
        "stopwords.append('ninguem')\n",
        "stopwords.append('de')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bJ28wenNrIxL"
      },
      "source": [
        "##Coletando os dados \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "XxkI_8vIWYrN",
        "outputId": "7c185c9f-0cee-4fe8-ae00-a073f0838270"
      },
      "source": [
        "caminho = '/content/manchetesBrasildatabase.csv'\n",
        "dataframe = pd.read_csv(caminho, quotechar=\"'\", header = None, names = [\"Day\", \"Month\", \"Year\", \"Company\", \"Headline\"])\n",
        "dataframe.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>Day</th>\n",
              "      <th>Month</th>\n",
              "      <th>Year</th>\n",
              "      <th>Company</th>\n",
              "      <th>Headline</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Valor</td>\n",
              "      <td>BNDES encolhe e volta ao nível de 20 anos atrás</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Valor</td>\n",
              "      <td>BC cria novo instrumento de política monetária.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Valor</td>\n",
              "      <td>Câmbio gera bate-boca entre UA e UE.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Valor</td>\n",
              "      <td>Indenização a transmissoras de energia já cheg...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Valor</td>\n",
              "      <td>Políticos esperam que relator separe \"joio do ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Day      Month  ...  Company                                           Headline\n",
              "0    1  fevereiro  ...    Valor    BNDES encolhe e volta ao nível de 20 anos atrás\n",
              "1    1  fevereiro  ...    Valor    BC cria novo instrumento de política monetária.\n",
              "2    1  fevereiro  ...    Valor               Câmbio gera bate-boca entre UA e UE.\n",
              "3    1  fevereiro  ...    Valor  Indenização a transmissoras de energia já cheg...\n",
              "4    1  fevereiro  ...    Valor  Políticos esperam que relator separe \"joio do ...\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "YvPH9MuBtl4L",
        "outputId": "71e141e7-d452-41ed-b35d-3da2dcd98d11"
      },
      "source": [
        "dataframe_folha = dataframe.loc[dataframe['Company'] == 'Folha']\n",
        "dataframe_folha"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>Day</th>\n",
              "      <th>Month</th>\n",
              "      <th>Year</th>\n",
              "      <th>Company</th>\n",
              "      <th>Headline</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Crise amplia diferença de salário entre CLT e ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Governo faz cortes após déficit recorde de R$ ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Vitória é dada como certa no Senado, e PMDB mi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Operador diz que repatriou propina de Eike a C...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>1</td>\n",
              "      <td>fevereiro</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Doria quer punir pichadores com multa pesada e...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>31</td>\n",
              "      <td>dezembro</td>\n",
              "      <td>2016</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Em um mês, Doria prioriza centro de SP e zelad...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>17</td>\n",
              "      <td>julho</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Fernando Haddad: PT e PSDB se mantiveram refén...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>494</th>\n",
              "      <td>17</td>\n",
              "      <td>julho</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Plebiscito na Venezuela atrai eleitores contra...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495</th>\n",
              "      <td>17</td>\n",
              "      <td>julho</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Colômbia tenta convencer Cuba a mediar crise n...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>496</th>\n",
              "      <td>17</td>\n",
              "      <td>julho</td>\n",
              "      <td>2017</td>\n",
              "      <td>Folha</td>\n",
              "      <td>Atendimento a baleados dispara em hospital do ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>127 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     Day      Month  ...  Company                                           Headline\n",
              "14     1  fevereiro  ...    Folha  Crise amplia diferença de salário entre CLT e ...\n",
              "15     1  fevereiro  ...    Folha  Governo faz cortes após déficit recorde de R$ ...\n",
              "16     1  fevereiro  ...    Folha  Vitória é dada como certa no Senado, e PMDB mi...\n",
              "17     1  fevereiro  ...    Folha  Operador diz que repatriou propina de Eike a C...\n",
              "18     1  fevereiro  ...    Folha  Doria quer punir pichadores com multa pesada e...\n",
              "..   ...        ...  ...      ...                                                ...\n",
              "486   31   dezembro  ...    Folha  Em um mês, Doria prioriza centro de SP e zelad...\n",
              "493   17      julho  ...    Folha  Fernando Haddad: PT e PSDB se mantiveram refén...\n",
              "494   17      julho  ...    Folha  Plebiscito na Venezuela atrai eleitores contra...\n",
              "495   17      julho  ...    Folha  Colômbia tenta convencer Cuba a mediar crise n...\n",
              "496   17      julho  ...    Folha  Atendimento a baleados dispara em hospital do ...\n",
              "\n",
              "[127 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_i--Tx9suLxC",
        "outputId": "23f6520d-1799-4797-92ec-13a003463896"
      },
      "source": [
        "len(dataframe_folha)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "127"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wdgo_g0Xr7Gt"
      },
      "source": [
        "##Pré-processamento"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E1SZIbYwsA7S"
      },
      "source": [
        "Nessa fase é onde serão removidos caracteres irrelevantes para a análise, como espaços, \\, pontuações, stopwords, letras maiúsculas, caracteres Non ASCII..."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MIjUYPtefglI",
        "outputId": "f9c487d9-9360-41a4-f5aa-ac63e80b8ffb"
      },
      "source": [
        "# Convertendo para lista\n",
        "data = dataframe_folha.Headline.values.tolist()\n",
        "\n",
        "# Removendo novas linhas\n",
        "data = [re.sub('\\s+', ' ', sent) for sent in data]\n",
        "\n",
        "# Removendo distrações\n",
        "data = [re.sub(\"\\'\", \"\", sent) for sent in data]\n",
        "\n",
        "pprint(data[:1])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Crise amplia diferença de salário entre CLT e servidor.']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ekKnxQsms8Ow"
      },
      "source": [
        "#Aplicando função para deixar somente letras minúsculas.\n",
        "def to_lowercase(words):\n",
        "   \n",
        "    new_words = []\n",
        "    for word in words:\n",
        "        new_word = word.lower()\n",
        "        new_words.append(new_word)\n",
        "    return new_words"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R9CwZ3CDtGsn"
      },
      "source": [
        "#Aplicando função para remover os caracteres Non ASCII\n",
        "def remove_non_ascii(words):\n",
        "    \"\"\"Remove non-ASCII characters from list of tokenized words\"\"\"\n",
        "    new_words = []\n",
        "    for word in words:\n",
        "        new_word = unicodedata.normalize('NFKD', word).encode('ascii', 'ignore').decode('utf-8', 'ignore')\n",
        "        new_words.append(new_word)\n",
        "    return new_words"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UIIfxnALs_oW"
      },
      "source": [
        "data = to_lowercase(data)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MMxlWHSItME-",
        "outputId": "dd0dcf07-23d1-475d-f8b9-3bfbcffee26a"
      },
      "source": [
        "data = remove_non_ascii(data)\n",
        "data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['crise amplia diferenca de salario entre clt e servidor.',\n",
              " 'governo faz cortes apos deficit recorde de r$ 155,7 bilhoes.',\n",
              " 'vitoria e dada como certa no senado, e pmdb mira comissao.',\n",
              " 'operador diz que repatriou propina de eike a cabral.',\n",
              " 'doria quer punir pichadores com multa pesada e trabalho de gari.',\n",
              " 'pedro parente: brasil nao deveria ter desapreco ao capital estrangeiro.',\n",
              " 'trump indica juiz conservador para a suprema corte.',\n",
              " 'obter visto para os eua fica mais dificil para os brasileiros.',\n",
              " 'comissao rejeita pilares da nova previdencia.',\n",
              " 'propostas radicais tem chance politica.',\n",
              " 'elio gaspari: presidente bate recorde em perda de colaboradores.',\n",
              " 'helio schwartsman: puxadinho vira estrategia para evitar confrontos.',\n",
              " 'no desempate, tatuape vence pela 1a vez em sp.&nbsp;',\n",
              " 'trump pode desistir de expulsar ilegais sem crime grave.',\n",
              " 'maioria da torcida em sp nao sabe nome de jogador.',\n",
              " ' bc cita impacto da crise e diz que juro caira menos.',\n",
              " 'planalto aponta \"falha sistemica\" na diplomacia.',\n",
              " 'em um ano, pais ganha 2,6 milhoes de desempregados.',\n",
              " 'governo preve divida fixa e fim de carencia no fies.',\n",
              " 'novo ministro da justica sinaliza que comando da pf sera trocado.',\n",
              " 'em acordo, dona da jbs obtem prazo e juros favoraveis.',\n",
              " 'recessao prolongada no pais eleva pessimismo sobre 2017.',\n",
              " '\"falha eletrica total, sem combustivel\", avisou piloto.',\n",
              " 'pasquale cipro neto: tragedia do torino povoa imaginario desde a infancia.',\n",
              " 'senado nega apoio a camara em embate com stf sobre aborto.',\n",
              " 'apos ameaca renan perde em manobra contra lava-jato.',\n",
              " 'presidente temer corre risco de nao chegar a 2018, diz joaquim barbosa.',\n",
              " 'regime de cuba e o que mais matou na america. ',\n",
              " 'doria prega conciliacao e diz que recuara quando preciso.',\n",
              " 'homem mata a tiros ex-mulher, filho e mais dez.',\n",
              " 'ataque deixa 39 mortos em clube em istambul.',\n",
              " 'ronaldo lemos: estados ignoram privacidade de contribuintes.',\n",
              " 'crise economica afeta inovacao das empresas.',\n",
              " 'monica bergamo: fiesp projeta um impulso maior da industria em 2017.',\n",
              " 'entrevista na 2a: james t. hamilton: sociedade lucra com jornalismo investigativo.',\n",
              " 'brasileiros estao menos pessimistas com a economia.',\n",
              " 'debate sobre a previdencia deve ir alem do fiscal.',\n",
              " 'governo deve adiar votacao na camara da nova aposentadoria.',\n",
              " 'ataque fere mais de dez indigenas no maranhao.',\n",
              " 'agenda de ministro privilegia ruralistas e deixa indio de fora.',\n",
              " 'maduro convoca constituinte sem voto universal.',\n",
              " 'em ofensiva, temer afaga ruralistas e o baixo clero',\n",
              " 'lula se torna reu pela 6a vez, agora no caso do sitio em sp',\n",
              " 'justica condena a prisao braco direito de abilio diniz',\n",
              " 'chavismo volta a prender rivais do governo maduro',\n",
              " 'regra gera abismo entre datas de aposentadorias.',\n",
              " 'equador deixa governista em 1o apos 94% dos votos apurados.',\n",
              " 'para maduro, mercosul critica de forma seletiva.',\n",
              " 'temor de mais repressao esvazia ruas de assuncao.',\n",
              " 'doria zera fila de exames, e outra surge em seu lugar.',\n",
              " 'apoio a esquerda sobe e repoe empate ideologico.',\n",
              " 'mauro paulino: pesquisa mostra desalento e medo da sociedade.',\n",
              " 'tucanos criam dificuldades para doria na camara.',\n",
              " 'jbs usava rede de mercados para ter dinheiro vivo.',\n",
              " 'delfim netto: brasil deixou poder privado controlar o poder politico.',\n",
              " 'tiroteio em frente a mesquita fere ao menos 8 na franca.',\n",
              " 'crescem juros de credito pessoal e de renegociacao.',\n",
              " 'luiz felipe ponde: e preciso pensar na longevidade para alem do marketing.',\n",
              " 'sergio cabral e condenado a 14 anos na lava-jato.',\n",
              " 'stf deve julgar pedido de prisao de aecio no dia 20.',\n",
              " 'marcelo coelho: toda a sociedade esta em processo de desmoralizacao.',\n",
              " 'varejo surpreende e interrompe dois anos de retracao.',\n",
              " 'temer preve livros sem a versao final da vase curricular.',\n",
              " 'venezuela impede ativistas presos de contatarem defesa.',\n",
              " 'instituto de gilmar teve patrocinio de r4 2,1 mi da j&amp;f.',\n",
              " 'joesley retorna ao pais e diz que nao passeava em ny.',\n",
              " 'rio em crise tem um pm morto a cada dois dias',\n",
              " 'disputa entre alas do governo adia anuncio da nova meta fiscal',\n",
              " 'jbs divulga lucro 80% menor apos acordo de delacao',\n",
              " 'relator recebia votos prontos, diz delator da zelotes',\n",
              " 'numeros mostram baixa eficacia da policia paulista.',\n",
              " 'guido mantega: perdi minha reputacao, minha vida virou um inferno.',\n",
              " 'conta para o pt teve r$ 324 milhoes da odebrecht, dizem delatores.',\n",
              " 'reformas elevam dispersao na base de apoio a temer.',\n",
              " 'bolsonaro, em 1987, admitiu ato de indisciplina.',\n",
              " 'ruy castro: sem matematica, ninguem enfrentara mundo cibernetico.',\n",
              " 'garcos temem perder renda com nova lei das gorjetas.',\n",
              " 'lista de janot inclui 5 ministros de temer, alem de lula e aecio.',\n",
              " 'ex-presidente depoe e diz que e vitima de \"quase um massacre\".',\n",
              " 'citados preveem fase critica por ate quatro meses.',\n",
              " 'bernardo mello franco: pedido cai como bomba nuclear na capital federal.',\n",
              " 'casos de suspeita de dengue e zika caem, em media, 90% no ano.',\n",
              " 'protesto contra reformas deve parar onibus e metro.',\n",
              " 'tempestade cobre ny de neve e finda primavera precoce.',\n",
              " 'eleicao holandesa gera ansiedade entre imigrantes.',\n",
              " 'doria inclui mais pobres e tira jovens do leve leite.',\n",
              " 'temer afirma que nao e inimigo nem censor da imprensa.',\n",
              " 'bernardo mello franco: beijao-mao expoe moraes a cenas constrangedoras.',\n",
              " 'celso de mello, do stf, mantem moreira franco em ministerio.',\n",
              " 'conselheiro pede demissao, e trump sofre a 1a baixa.',\n",
              " 'presidente da j&amp;f diz que nao deixara chefia da empresa.',\n",
              " 'tire suas duvidas sobre calendario e como sacar o dinehiro do fgts.',\n",
              " 'estados pressionam temer por papel da forca nacional.',\n",
              " 'helio shwartsman: e preciso prender menos e legalizar o uso de drogas.',\n",
              " 'rolls-royce admite ter pago propina e devolvera r$ 83 mi.',\n",
              " 'uniao teve perda menor de receita no final de 2016.',\n",
              " 'chefe do bradesco ve reacao mais forte do brasil em 2018.',\n",
              " 'demoratas vao boicotar a posse de donald trump.',\n",
              " 'anvisa aprova o 1o medicamento a base de maconha.',\n",
              " 'plebiscito da superpoder ao presidente da turquia.',\n",
              " 'repasse ilicito da odebrecht se manteve mesmo com lava-jato.',\n",
              " 'oab pressiona stf a convocar juizes auxiliares para acelerar apuracao.',\n",
              " 'elmar nascimento: rezo todos os dias para nao ter que cassar nenhum colega.',\n",
              " 'embaixada do brasil cria plano de fuga da coreia.',\n",
              " 'idade minima da aposentadoria deve subir a cada 2 anos.',\n",
              " 'nelson barbosa: corte de gastas ameaca retomada da economia.',\n",
              " 'embaixada do brasil cria plano de fuga da coreia.',\n",
              " 'pacote de temer tenta agradar a trabalhadores e empresarios.',\n",
              " 'presidente afirma que nao pensa em renunciar ao cargo.',\n",
              " 'assad retoma aleppo e obtem a maior vitoria na guerra siria.',\n",
              " 'odebrecht diz ter agido para manter influencia de lula.',\n",
              " 'exercito admite que militar foi infiltrado em ato contra o governo.',\n",
              " 'teto a todo aposentado geraria r$ 50 bi por ano.',\n",
              " 'temer usara reformas para se fortalecer contra denuncia.',\n",
              " 'celso souza barros: esquerda precisa viver sem a ideia de lula no pareo.',\n",
              " 'isabela, mulher de odebrecht, vira personagem na carceragem da pf.',\n",
              " 'carmen lucia quer sortear relatoria entre 5 ministros.',\n",
              " 'helio schwartsman: lava-jato deve se converter no novo normal do pais.',\n",
              " 'govwerno teve deficit recorde de r$ 154,2 bi no ano passado.',\n",
              " 'eike se entrega e indca que vai colaborar com investigacoes.',\n",
              " 'decreto de trump deflagra batalhas politica e juridica.',\n",
              " 'ataque a mesquita no canada deixa ao menos seis mortos.',\n",
              " 'em um mes, doria prioriza centro de sp e zeladoria.',\n",
              " 'fernando haddad: pt e psdb se mantiveram refens do atraso.',\n",
              " 'plebiscito na venezuela atrai eleitores contra gestao maduro.',\n",
              " 'colombia tenta convencer cuba a mediar crise no pais vizinho.',\n",
              " 'atendimento a baleados dispara em hospital do rio.']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RXh8FpQWgv4x",
        "outputId": "24acc63e-7fae-46a6-92cc-b9deaf4e5dad"
      },
      "source": [
        "#Removendo pontuação e fazendo a tokeinização (para conseguir aplicar o modelo LDA)\n",
        "def sent_to_words(sentences):\n",
        "    for sentence in sentences:\n",
        "        yield(gensim.utils.simple_preprocess(str(sentence), deacc=True))  # deacc=True removes punctuations\n",
        "\n",
        "data_words = list(sent_to_words(data))\n",
        "\n",
        "print(data_words[:1])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[['crise', 'amplia', 'diferenca', 'de', 'salario', 'entre', 'clt', 'servidor']]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gqf5hQF5t4Pu"
      },
      "source": [
        "Bigramas são duas palavras que ocorrem frequentemente juntas no documento. Os trigramas são três palavras que ocorrem com freqüência."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fZjhR_8zgzjJ",
        "outputId": "c959ec48-96db-45cf-9bad-7b010a5e1fb1"
      },
      "source": [
        "# Construindo os modelos bigrama e trigrama\n",
        "bigram = gensim.models.Phrases(data_words, min_count=5, threshold=100) # limite superior menos as frases\n",
        "trigram = gensim.models.Phrases(bigram[data_words], threshold=100)  \n",
        "\n",
        "# Maneira mais rápida de obter uma frase batida como um trigrama / bigrama\n",
        "bigram_mod = gensim.models.phrases.Phraser(bigram)\n",
        "trigram_mod = gensim.models.phrases.Phraser(trigram)\n",
        "\n",
        "# See trigram example\n",
        "print(trigram_mod[bigram_mod[data_words[0]]])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['crise', 'amplia', 'diferenca', 'de', 'salario', 'entre', 'clt', 'servidor']\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/gensim/models/phrases.py:598: UserWarning: For a faster implementation, use the gensim.models.phrases.Phraser class\n",
            "  warnings.warn(\"For a faster implementation, use the gensim.models.phrases.Phraser class\")\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OwDUzGrkhE6v"
      },
      "source": [
        "# Definindo funções para stopwords, bigrams and trigrams\n",
        "def remove_stopwords(texts):\n",
        "    return [[word for word in simple_preprocess(str(doc)) if word not in stopwords] for doc in texts]\n",
        "\n",
        "def make_bigrams(texts):\n",
        "    return [bigram_mod[doc] for doc in texts]\n",
        "\n",
        "def make_trigrams(texts):\n",
        "    return [trigram_mod[bigram_mod[doc]] for doc in texts]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P2150mrahH7g",
        "outputId": "5e20a749-7188-4609-f154-90bda1c942ae"
      },
      "source": [
        "# Removendo Stop Words\n",
        "data_words_nostops = remove_stopwords(data_words)\n",
        "\n",
        "# Formando Bigrams\n",
        "data_words_bigrams = make_bigrams(data_words_nostops)\n",
        "\n",
        "data_words_bigrams"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['crise', 'amplia', 'diferenca', 'salario', 'clt', 'servidor'],\n",
              " ['governo', 'faz', 'cortes', 'apos', 'deficit', 'recorde', 'bilhoes'],\n",
              " ['vitoria', 'dada', 'certa', 'senado', 'pmdb', 'mira', 'comissao'],\n",
              " ['operador', 'diz', 'repatriou', 'propina', 'eike', 'cabral'],\n",
              " ['doria',\n",
              "  'quer',\n",
              "  'punir',\n",
              "  'pichadores',\n",
              "  'multa',\n",
              "  'pesada',\n",
              "  'trabalho',\n",
              "  'gari'],\n",
              " ['pedro',\n",
              "  'parente',\n",
              "  'brasil',\n",
              "  'deveria',\n",
              "  'desapreco',\n",
              "  'capital',\n",
              "  'estrangeiro'],\n",
              " ['trump', 'indica', 'juiz', 'conservador', 'suprema', 'corte'],\n",
              " ['obter', 'visto', 'eua', 'fica', 'dificil', 'brasileiros'],\n",
              " ['comissao', 'rejeita', 'pilares', 'nova', 'previdencia'],\n",
              " ['propostas', 'radicais', 'chance', 'politica'],\n",
              " ['elio',\n",
              "  'gaspari',\n",
              "  'presidente',\n",
              "  'bate',\n",
              "  'recorde',\n",
              "  'perda',\n",
              "  'colaboradores'],\n",
              " ['helio',\n",
              "  'schwartsman',\n",
              "  'puxadinho',\n",
              "  'vira',\n",
              "  'estrategia',\n",
              "  'evitar',\n",
              "  'confrontos'],\n",
              " ['desempate', 'tatuape', 'vence', 'vez', 'sp', 'nbsp'],\n",
              " ['trump', 'pode', 'desistir', 'expulsar', 'ilegais', 'crime', 'grave'],\n",
              " ['maioria', 'torcida', 'sp', 'sabe', 'nome', 'jogador'],\n",
              " ['bc', 'cita', 'impacto', 'crise', 'diz', 'juro', 'caira', 'menos'],\n",
              " ['planalto', 'aponta', 'falha', 'sistemica', 'diplomacia'],\n",
              " ['ano', 'pais', 'ganha', 'milhoes', 'desempregados'],\n",
              " ['governo', 'preve', 'divida', 'fixa', 'fim', 'carencia', 'fies'],\n",
              " ['novo',\n",
              "  'ministro',\n",
              "  'justica',\n",
              "  'sinaliza',\n",
              "  'comando',\n",
              "  'pf',\n",
              "  'sera',\n",
              "  'trocado'],\n",
              " ['acordo', 'dona', 'jbs', 'obtem', 'prazo', 'juros', 'favoraveis'],\n",
              " ['recessao', 'prolongada', 'pais', 'eleva', 'pessimismo'],\n",
              " ['falha', 'eletrica', 'total', 'combustivel', 'avisou', 'piloto'],\n",
              " ['pasquale',\n",
              "  'cipro',\n",
              "  'neto',\n",
              "  'tragedia',\n",
              "  'torino',\n",
              "  'povoa',\n",
              "  'imaginario',\n",
              "  'desde',\n",
              "  'infancia'],\n",
              " ['senado', 'nega', 'apoio', 'camara', 'embate', 'stf', 'aborto'],\n",
              " ['apos', 'ameaca', 'renan', 'perde', 'manobra', 'contra', 'lava', 'jato'],\n",
              " ['presidente',\n",
              "  'temer',\n",
              "  'corre',\n",
              "  'risco',\n",
              "  'chegar',\n",
              "  'diz',\n",
              "  'joaquim',\n",
              "  'barbosa'],\n",
              " ['regime', 'cuba', 'matou', 'america'],\n",
              " ['doria', 'prega', 'conciliacao', 'diz', 'recuara', 'preciso'],\n",
              " ['homem', 'mata', 'tiros', 'ex', 'mulher', 'filho', 'dez'],\n",
              " ['ataque', 'deixa', 'mortos', 'clube', 'istambul'],\n",
              " ['ronaldo', 'lemos', 'estados', 'ignoram', 'privacidade', 'contribuintes'],\n",
              " ['crise', 'economica', 'afeta', 'inovacao', 'empresas'],\n",
              " ['monica', 'bergamo', 'fiesp', 'projeta', 'impulso', 'maior', 'industria'],\n",
              " ['entrevista',\n",
              "  'james',\n",
              "  'hamilton',\n",
              "  'sociedade',\n",
              "  'lucra',\n",
              "  'jornalismo',\n",
              "  'investigativo'],\n",
              " ['brasileiros', 'estao', 'menos', 'pessimistas', 'economia'],\n",
              " ['debate', 'previdencia', 'deve', 'ir', 'alem', 'fiscal'],\n",
              " ['governo', 'deve', 'adiar', 'votacao', 'camara', 'nova', 'aposentadoria'],\n",
              " ['ataque', 'fere', 'dez', 'indigenas', 'maranhao'],\n",
              " ['agenda', 'ministro', 'privilegia', 'ruralistas', 'deixa', 'indio'],\n",
              " ['maduro', 'convoca', 'constituinte', 'voto', 'universal'],\n",
              " ['ofensiva', 'temer', 'afaga', 'ruralistas', 'baixo', 'clero'],\n",
              " ['lula', 'torna', 'reu', 'vez', 'caso', 'sitio', 'sp'],\n",
              " ['justica', 'condena', 'prisao', 'braco', 'direito', 'abilio', 'diniz'],\n",
              " ['chavismo', 'volta', 'prender', 'rivais', 'governo', 'maduro'],\n",
              " ['regra', 'gera', 'abismo', 'datas', 'aposentadorias'],\n",
              " ['equador', 'deixa', 'governista', 'apos', 'votos', 'apurados'],\n",
              " ['maduro', 'mercosul', 'critica', 'forma', 'seletiva'],\n",
              " ['temor', 'repressao', 'esvazia', 'ruas', 'assuncao'],\n",
              " ['doria', 'zera', 'fila', 'exames', 'outra', 'surge', 'lugar'],\n",
              " ['apoio', 'esquerda', 'sobe', 'repoe', 'empate', 'ideologico'],\n",
              " ['mauro', 'paulino', 'pesquisa', 'mostra', 'desalento', 'medo', 'sociedade'],\n",
              " ['tucanos', 'criam', 'dificuldades', 'doria', 'camara'],\n",
              " ['jbs', 'usava', 'rede', 'mercados', 'dinheiro', 'vivo'],\n",
              " ['delfim',\n",
              "  'netto',\n",
              "  'brasil',\n",
              "  'deixou',\n",
              "  'poder',\n",
              "  'privado',\n",
              "  'controlar',\n",
              "  'poder',\n",
              "  'politico'],\n",
              " ['tiroteio', 'frente', 'mesquita', 'fere', 'menos', 'franca'],\n",
              " ['crescem', 'juros', 'credito', 'pessoal', 'renegociacao'],\n",
              " ['luiz',\n",
              "  'felipe',\n",
              "  'ponde',\n",
              "  'preciso',\n",
              "  'pensar',\n",
              "  'longevidade',\n",
              "  'alem',\n",
              "  'marketing'],\n",
              " ['sergio', 'cabral', 'condenado', 'anos', 'lava', 'jato'],\n",
              " ['stf', 'deve', 'julgar', 'pedido', 'prisao', 'aecio', 'dia'],\n",
              " ['marcelo', 'coelho', 'toda', 'sociedade', 'processo', 'desmoralizacao'],\n",
              " ['varejo', 'surpreende', 'interrompe', 'dois', 'anos', 'retracao'],\n",
              " ['temer', 'preve', 'livros', 'versao', 'final', 'vase', 'curricular'],\n",
              " ['venezuela', 'impede', 'ativistas', 'presos', 'contatarem', 'defesa'],\n",
              " ['instituto', 'gilmar', 'patrocinio', 'mi', 'amp'],\n",
              " ['joesley', 'retorna', 'pais', 'diz', 'passeava', 'ny'],\n",
              " ['rio', 'crise', 'pm', 'morto', 'cada', 'dois', 'dias'],\n",
              " ['disputa', 'alas', 'governo', 'adia', 'anuncio', 'nova', 'meta', 'fiscal'],\n",
              " ['jbs', 'divulga', 'lucro', 'menor', 'apos', 'acordo', 'delacao'],\n",
              " ['relator', 'recebia', 'votos', 'prontos', 'diz', 'delator', 'zelotes'],\n",
              " ['numeros', 'mostram', 'baixa', 'eficacia', 'policia', 'paulista'],\n",
              " ['guido', 'mantega', 'perdi', 'reputacao', 'vida', 'virou', 'inferno'],\n",
              " ['conta', 'pt', 'milhoes', 'odebrecht', 'dizem', 'delatores'],\n",
              " ['reformas', 'elevam', 'dispersao', 'base', 'apoio', 'temer'],\n",
              " ['bolsonaro', 'admitiu', 'ato', 'indisciplina'],\n",
              " ['ruy', 'castro', 'matematica', 'enfrentara', 'mundo', 'cibernetico'],\n",
              " ['garcos', 'temem', 'perder', 'renda', 'nova', 'lei', 'gorjetas'],\n",
              " ['lista', 'janot', 'inclui', 'ministros', 'temer', 'alem', 'lula', 'aecio'],\n",
              " ['ex', 'presidente', 'depoe', 'diz', 'vitima', 'quase', 'massacre'],\n",
              " ['citados', 'preveem', 'fase', 'critica', 'quatro', 'meses'],\n",
              " ['bernardo',\n",
              "  'mello',\n",
              "  'franco',\n",
              "  'pedido',\n",
              "  'cai',\n",
              "  'bomba',\n",
              "  'nuclear',\n",
              "  'capital',\n",
              "  'federal'],\n",
              " ['casos', 'suspeita', 'dengue', 'zika', 'caem', 'media', 'ano'],\n",
              " ['protesto', 'contra', 'reformas', 'deve', 'parar', 'onibus', 'metro'],\n",
              " ['tempestade', 'cobre', 'ny', 'neve', 'finda', 'primavera', 'precoce'],\n",
              " ['eleicao', 'holandesa', 'gera', 'ansiedade', 'imigrantes'],\n",
              " ['doria', 'inclui', 'pobres', 'tira', 'jovens', 'leve', 'leite'],\n",
              " ['temer', 'afirma', 'inimigo', 'censor', 'imprensa'],\n",
              " ['bernardo',\n",
              "  'mello',\n",
              "  'franco',\n",
              "  'beijao',\n",
              "  'mao',\n",
              "  'expoe',\n",
              "  'moraes',\n",
              "  'cenas',\n",
              "  'constrangedoras'],\n",
              " ['celso', 'mello', 'stf', 'mantem', 'moreira', 'franco', 'ministerio'],\n",
              " ['conselheiro', 'pede', 'demissao', 'trump', 'sofre', 'baixa'],\n",
              " ['presidente', 'amp', 'diz', 'deixara', 'chefia', 'empresa'],\n",
              " ['tire', 'duvidas', 'calendario', 'sacar', 'dinehiro', 'fgts'],\n",
              " ['estados', 'pressionam', 'temer', 'papel', 'forca', 'nacional'],\n",
              " ['helio',\n",
              "  'shwartsman',\n",
              "  'preciso',\n",
              "  'prender',\n",
              "  'menos',\n",
              "  'legalizar',\n",
              "  'uso',\n",
              "  'drogas'],\n",
              " ['rolls', 'royce', 'admite', 'pago', 'propina', 'devolvera', 'mi'],\n",
              " ['uniao', 'perda', 'menor', 'receita', 'final'],\n",
              " ['chefe', 'bradesco', 've', 'reacao', 'forte', 'brasil'],\n",
              " ['demoratas', 'vao', 'boicotar', 'posse', 'donald', 'trump'],\n",
              " ['anvisa', 'aprova', 'medicamento', 'base', 'maconha'],\n",
              " ['plebiscito', 'superpoder', 'presidente', 'turquia'],\n",
              " ['repasse', 'ilicito', 'odebrecht', 'manteve', 'lava', 'jato'],\n",
              " ['oab',\n",
              "  'pressiona',\n",
              "  'stf',\n",
              "  'convocar',\n",
              "  'juizes',\n",
              "  'auxiliares',\n",
              "  'acelerar',\n",
              "  'apuracao'],\n",
              " ['elmar',\n",
              "  'nascimento',\n",
              "  'rezo',\n",
              "  'todos',\n",
              "  'dias',\n",
              "  'cassar',\n",
              "  'nenhum',\n",
              "  'colega'],\n",
              " ['embaixada', 'brasil', 'cria', 'plano', 'fuga', 'coreia'],\n",
              " ['idade', 'minima', 'aposentadoria', 'deve', 'subir', 'cada', 'anos'],\n",
              " ['nelson', 'barbosa', 'corte', 'gastas', 'ameaca', 'retomada', 'economia'],\n",
              " ['embaixada', 'brasil', 'cria', 'plano', 'fuga', 'coreia'],\n",
              " ['pacote', 'temer', 'tenta', 'agradar', 'trabalhadores', 'empresarios'],\n",
              " ['presidente', 'afirma', 'pensa', 'renunciar', 'cargo'],\n",
              " ['assad', 'retoma', 'aleppo', 'obtem', 'maior', 'vitoria', 'guerra', 'siria'],\n",
              " ['odebrecht', 'diz', 'agido', 'manter', 'influencia', 'lula'],\n",
              " ['exercito', 'admite', 'militar', 'infiltrado', 'ato', 'contra', 'governo'],\n",
              " ['teto', 'todo', 'aposentado', 'geraria', 'bi', 'ano'],\n",
              " ['temer', 'usara', 'reformas', 'fortalecer', 'contra', 'denuncia'],\n",
              " ['celso',\n",
              "  'souza',\n",
              "  'barros',\n",
              "  'esquerda',\n",
              "  'precisa',\n",
              "  'viver',\n",
              "  'ideia',\n",
              "  'lula',\n",
              "  'pareo'],\n",
              " ['isabela', 'mulher', 'odebrecht', 'vira', 'personagem', 'carceragem', 'pf'],\n",
              " ['carmen', 'lucia', 'quer', 'sortear', 'relatoria', 'ministros'],\n",
              " ['helio',\n",
              "  'schwartsman',\n",
              "  'lava',\n",
              "  'jato',\n",
              "  'deve',\n",
              "  'converter',\n",
              "  'novo',\n",
              "  'normal',\n",
              "  'pais'],\n",
              " ['govwerno', 'deficit', 'recorde', 'bi', 'ano', 'passado'],\n",
              " ['eike', 'entrega', 'indca', 'colaborar', 'investigacoes'],\n",
              " ['decreto', 'trump', 'deflagra', 'batalhas', 'politica', 'juridica'],\n",
              " ['ataque', 'mesquita', 'canada', 'deixa', 'menos', 'seis', 'mortos'],\n",
              " ['mes', 'doria', 'prioriza', 'centro', 'sp', 'zeladoria'],\n",
              " ['fernando', 'haddad', 'pt', 'psdb', 'mantiveram', 'refens', 'atraso'],\n",
              " ['plebiscito',\n",
              "  'venezuela',\n",
              "  'atrai',\n",
              "  'eleitores',\n",
              "  'contra',\n",
              "  'gestao',\n",
              "  'maduro'],\n",
              " ['colombia',\n",
              "  'tenta',\n",
              "  'convencer',\n",
              "  'cuba',\n",
              "  'mediar',\n",
              "  'crise',\n",
              "  'pais',\n",
              "  'vizinho'],\n",
              " ['atendimento', 'baleados', 'dispara', 'hospital', 'rio']]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i8QAU6gou788"
      },
      "source": [
        "###Criando dicionário e corpus para a modelagem"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PShai0ZNhIPR",
        "outputId": "81610bc4-5cfe-4f1f-8eba-0bf9eb865d2c"
      },
      "source": [
        "# Criando dicionário\n",
        "id2word = corpora.Dictionary(data_words_bigrams)\n",
        "\n",
        "# Criando corpus\n",
        "texts = data_words_bigrams\n",
        "\n",
        "# Frequencia do documento do termo\n",
        "corpus = [id2word.doc2bow(text) for text in texts]\n",
        "\n",
        "# visualizando\n",
        "print(corpus[:1])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[(0, 1), (1, 1), (2, 1), (3, 1), (4, 1), (5, 1)]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gfjf1TcrvS7H"
      },
      "source": [
        "##Construindo a Modelagem"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6at5UqDTvdoW"
      },
      "source": [
        "Temos tudo para treinar o modelo LDA. Além do corpus e do dicionário, você também precisa fornecer o número de tópicos.\n",
        "\n",
        "Além disso, alphae etasão hiperparâmetros que afetam a dispersão dos tópicos. De acordo com a documentação do Gensim, ambos os padrões são 1.0 / num_topics anterior.\n",
        "\n",
        "chunksizeé o número de documentos a serem usados ​​em cada bloco de treinamento. update_everydetermina a frequência com que os parâmetros do modelo devem ser atualizados e passesé o número total de passes de treinamento."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rE82LPn1hpIP"
      },
      "source": [
        "# Construindo LDA Model\n",
        "lda_model = gensim.models.ldamodel.LdaModel(corpus=corpus,\n",
        "                                           id2word=id2word,\n",
        "                                           num_topics=10, \n",
        "                                           random_state=100,\n",
        "                                           update_every=1,\n",
        "                                           chunksize=100,\n",
        "                                           passes=10,\n",
        "                                           alpha='auto',\n",
        "                                           per_word_topics=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qf5Y4MlEhrZW",
        "outputId": "0814972d-05c0-47f1-b095-e1777c4fb928"
      },
      "source": [
        "# Imprindo as palavras chaves nos 10 tópicos\n",
        "pprint(lda_model.print_topics())\n",
        "doc_lda = lda_model[corpus]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[(0,\n",
            "  '0.052*\"lava\" + 0.052*\"jato\" + 0.026*\"ameaca\" + 0.026*\"economia\" + '\n",
            "  '0.026*\"novo\" + 0.026*\"pf\" + 0.022*\"manteve\" + 0.022*\"repasse\" + '\n",
            "  '0.022*\"ilicito\" + 0.022*\"retomada\"'),\n",
            " (1,\n",
            "  '0.042*\"lula\" + 0.031*\"trump\" + 0.031*\"diz\" + 0.028*\"menos\" + '\n",
            "  '0.021*\"politica\" + 0.021*\"mesquita\" + 0.021*\"ministros\" + 0.021*\"maior\" + '\n",
            "  '0.018*\"deflagra\" + 0.018*\"decreto\"'),\n",
            " (2,\n",
            "  '0.042*\"pais\" + 0.023*\"crise\" + 0.023*\"presidente\" + 0.020*\"rio\" + '\n",
            "  '0.020*\"dias\" + 0.020*\"afirma\" + 0.020*\"cada\" + 0.017*\"colega\" + '\n",
            "  '0.017*\"elmar\" + 0.017*\"nascimento\"'),\n",
            " (3,\n",
            "  '0.027*\"ataque\" + 0.026*\"deve\" + 0.023*\"deixa\" + 0.023*\"mortos\" + '\n",
            "  '0.023*\"helio\" + 0.023*\"schwartsman\" + 0.023*\"aposentadoria\" + 0.023*\"vira\" '\n",
            "  '+ 0.023*\"ato\" + 0.023*\"venezuela\"'),\n",
            " (4,\n",
            "  '0.058*\"contra\" + 0.044*\"brasil\" + 0.034*\"coreia\" + 0.034*\"cria\" + '\n",
            "  '0.034*\"plano\" + 0.034*\"fuga\" + 0.034*\"embaixada\" + 0.027*\"maduro\" + '\n",
            "  '0.024*\"reformas\" + 0.021*\"temer\"'),\n",
            " (5,\n",
            "  '0.038*\"stf\" + 0.025*\"oab\" + 0.025*\"pressiona\" + 0.025*\"convocar\" + '\n",
            "  '0.025*\"auxiliares\" + 0.025*\"apuracao\" + 0.025*\"acelerar\" + 0.025*\"juizes\" + '\n",
            "  '0.010*\"gera\" + 0.005*\"sabe\"'),\n",
            " (6,\n",
            "  '0.037*\"temer\" + 0.029*\"admite\" + 0.029*\"plebiscito\" + 0.029*\"barbosa\" + '\n",
            "  '0.029*\"celso\" + 0.025*\"agradar\" + 0.025*\"trabalhadores\" + 0.025*\"tenta\" + '\n",
            "  '0.025*\"pacote\" + 0.025*\"empresarios\"'),\n",
            " (7,\n",
            "  '0.054*\"odebrecht\" + 0.020*\"pt\" + 0.020*\"quer\" + 0.020*\"vitoria\" + '\n",
            "  '0.020*\"mulher\" + 0.020*\"corte\" + 0.017*\"refens\" + 0.017*\"psdb\" + '\n",
            "  '0.017*\"haddad\" + 0.017*\"atraso\"'),\n",
            " (8,\n",
            "  '0.048*\"ano\" + 0.032*\"doria\" + 0.028*\"sp\" + 0.027*\"bi\" + 0.024*\"eike\" + '\n",
            "  '0.024*\"cuba\" + 0.021*\"prioriza\" + 0.021*\"zeladoria\" + 0.021*\"centro\" + '\n",
            "  '0.021*\"aposentado\"'),\n",
            " (9,\n",
            "  '0.029*\"anos\" + 0.025*\"esquerda\" + 0.025*\"recorde\" + 0.025*\"deficit\" + '\n",
            "  '0.022*\"deve\" + 0.022*\"passado\" + 0.022*\"govwerno\" + 0.022*\"idade\" + '\n",
            "  '0.022*\"minima\" + 0.022*\"subir\"')]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Pytvr3dKv401"
      },
      "source": [
        "Como interpretar isso?\n",
        "\n",
        "O tópico 0 é representado como:'0.009*\"doutor\" + 0.008*\"baba\" + 0.008*\"andre\" + 0.008*\"jairinho\" + ''0.008*\"depoimento\" + 0.08*\"advogado\" + 0.008*\"taina\" + 0.008*\"entrevista\" ''+ 0.008*\"policia\" + 0.08*\"equipe\"'.\n",
        "\n",
        "Isso significa que as 10 principais palavras chave que contribuem para este tópico são: doutor, baba, andre, jairinho, depoimento, advogado, taina, entrevista, policia,equipe.\n",
        "\n",
        "Os pesos de cada uma refletem a importância de uma palavra chave para aquele tópico.\n",
        "\n",
        "Olhando para essas palavras-chave, você consegue adivinhar qual poderia ser esse tópico? Você pode resumir em 'carros' ou 'automóveis'.\n",
        "\n",
        "Da mesma forma, você pode examinar as palavras-chave do tópico restantes e julgar qual é o tópico?\n",
        "\n",
        "\n",
        "EXEMPLO DO TÓPICO 0: podemos entender que as palavras chave do tópico 0 se referem ao caso do Henry. \n",
        "Trecho reportagem: \"**Polícia** diz que **babá** sabia que Henry havia sido agredido por **Dr.** **Jairinho**\"...\"O advogado André França Barreto afirmou que o casal, preso na semana\"."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qUKNx7lkxfV1"
      },
      "source": [
        "Exemplo de como podemos representar graficamente:\n",
        "\n",
        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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GvGoOGSyxoDf"
      },
      "source": [
        "##Calculando a pontuação de perplexidade e coerência do modelo"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iUf-84Anxv_O"
      },
      "source": [
        "A perplexidade do modelo e a coerência do tópico fornecem uma medida conveniente para julgar o quão bom é um determinado modelo de tópico"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rLGIJFNih1tO",
        "outputId": "54673945-e329-4e5a-a5e8-528f96403ab9"
      },
      "source": [
        "# Calculando a perplexidade\n",
        "print('\\nPerplexity: ', lda_model.log_perplexity(corpus))  # a measure of how good the model is. lower the better.\n",
        "\n",
        "# Calculando o score de coerência\n",
        "coherence_model_lda = CoherenceModel(model=lda_model, texts=data_words_bigrams, dictionary=id2word, coherence='c_v')\n",
        "coherence_lda = coherence_model_lda.get_coherence()\n",
        "print('\\nCoherence Score: ', coherence_lda)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "Perplexity:  -7.159332843501972\n",
            "\n",
            "Coherence Score:  0.6201033937253544\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OImxgkyoyEKl"
      },
      "source": [
        "##Número ideal de tópicos?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "foLP-MMdyI_c"
      },
      "source": [
        "A abordagem se baseia em encontrar o número ideal de tópicos é construir muitos modelos de LDA com diferentes valores de número de tópicos (k) e escolher aquele que fornece o maior valor de coerência."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FotcbGDrkYjB"
      },
      "source": [
        "# Função para determinar a melhor quantidade de tópicos para a modelagem\n",
        "def compute_coherence_values(dictionary, corpus, texts, limit, start=3, step=3):\n",
        "    \"\"\"\n",
        "    Compute c_v coherence para vários números de tópicos\n",
        "\n",
        "    Parâmetros passados:\n",
        "    ----------\n",
        "    dicionário : Gensim dicionário\n",
        "    corpus : Gensim corpus\n",
        "    texto : Lista com os textos de entrada\n",
        "    limite : número máximo de tópicos\n",
        "\n",
        "    Retorno:\n",
        "    -------\n",
        "    model_list : Lista de modelos de tópicos de LDA\n",
        "    coherence_values : Valor de coerência correspondente ao modelo LDA com o respectivo número de tópicos.\n",
        "    \"\"\"\n",
        "    coherence_values = []\n",
        "    model_list = []\n",
        "    for num_topics in range(start, limit, step):\n",
        "        model = gensim.models.ldamodel.LdaModel(corpus=corpus, num_topics=num_topics, id2word=id2word)\n",
        "        model_list.append(model)\n",
        "        coherencemodel = CoherenceModel(model=model, texts=texts, dictionary=dictionary, coherence='c_v')\n",
        "        coherence_values.append(coherencemodel.get_coherence())\n",
        "\n",
        "    return model_list, coherence_values"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sNBZ-VojkY17"
      },
      "source": [
        "# Can take a long time to run.\n",
        "model_list, coherence_values = compute_coherence_values(dictionary=id2word, corpus=corpus, texts=data_words_bigrams, start=3, limit=40, step=6)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "nwfQL1Q9kbP0",
        "outputId": "761bb9da-5647-4355-900a-3b83944f3180"
      },
      "source": [
        "# Show graph\n",
        "limit=40; start=3; step=6;\n",
        "x = range(start, limit, step)\n",
        "plt.plot(x, coherence_values)\n",
        "plt.xlabel(\"Num Topics\")\n",
        "plt.ylabel(\"Coherence score\")\n",
        "plt.legend((\"coherence_values\"), loc='best')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EX1TGcJNklbK",
        "outputId": "07e886fe-fb5e-4d24-c699-be254370c87a"
      },
      "source": [
        "# Lista dos valores de coerência, para melhor identificar o ponto de inflexão do gráfico\n",
        "for m, cv in zip(x, coherence_values):\n",
        "    print(\"A quantidade de tópicos =\", m, \" tem um valor de coerência de \", round(cv, 4))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "A quantidade de tópicos = 3  tem um valor de coerência de  0.683\n",
            "A quantidade de tópicos = 9  tem um valor de coerência de  0.6061\n",
            "A quantidade de tópicos = 15  tem um valor de coerência de  0.4835\n",
            "A quantidade de tópicos = 21  tem um valor de coerência de  0.4506\n",
            "A quantidade de tópicos = 27  tem um valor de coerência de  0.4127\n",
            "A quantidade de tópicos = 33  tem um valor de coerência de  0.4037\n",
            "A quantidade de tópicos = 39  tem um valor de coerência de  0.4201\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3sU2EbmzzjiX"
      },
      "source": [
        "Se a pontuação de coerência parece continuar aumentando, pode fazer mais sentido escolher o modelo que forneceu o CV mais alto antes de nivelar. \n",
        "\n",
        "Portanto, para as próximas etapas, irei escolher o modelo com 32\n",
        "tópicos próprios."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OutLlqg5kmL-",
        "outputId": "20ee5ffe-9c77-4acd-ae18-6eb1f259db14"
      },
      "source": [
        "# Selecionando o modelo  e imprimindo os tópicos.\n",
        "optimal_model = model_list[0]\n",
        "model_topics = optimal_model.show_topics(formatted=False)\n",
        "pprint(optimal_model.print_topics(num_words=10))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[(0,\n",
            "  '0.011*\"presidente\" + 0.007*\"ataque\" + 0.007*\"deixa\" + 0.007*\"temer\" + '\n",
            "  '0.007*\"diz\" + 0.006*\"pais\" + 0.005*\"ano\" + 0.005*\"reformas\" + 0.005*\"apoio\" '\n",
            "  '+ 0.005*\"esquerda\"'),\n",
            " (1,\n",
            "  '0.010*\"deve\" + 0.010*\"governo\" + 0.008*\"trump\" + 0.007*\"apos\" + '\n",
            "  '0.006*\"maduro\" + 0.006*\"pais\" + 0.006*\"contra\" + 0.006*\"camara\" + '\n",
            "  '0.005*\"stf\" + 0.005*\"brasil\"'),\n",
            " (2,\n",
            "  '0.013*\"diz\" + 0.011*\"temer\" + 0.009*\"crise\" + 0.009*\"menos\" + 0.008*\"doria\" '\n",
            "  '+ 0.006*\"preciso\" + 0.005*\"odebrecht\" + 0.005*\"lula\" + 0.005*\"sociedade\" + '\n",
            "  '0.005*\"poder\"')]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212
        },
        "id": "ngf5DwMlgRgc",
        "outputId": "63d225e3-83d7-467e-e744-f972f47c1f03"
      },
      "source": [
        "# Criando wordclouds\n",
        "cols = [color for name, color in mcolors.XKCD_COLORS.items()]\n",
        "cloud = WordCloud(stopwords=stopwords,\n",
        "                  background_color='white',\n",
        "                  width=2500,\n",
        "                  height=1800,\n",
        "                  max_words=20,\n",
        "                  colormap='tab10',\n",
        "                  color_func=lambda *args, **kwargs: cols[i],\n",
        "                  prefer_horizontal=1.0)\n",
        "topics = optimal_model.show_topics(formatted=False)\n",
        "fig, axes = plt.subplots(1, 3, figsize=(10,10), sharex=True, sharey=True)\n",
        "for i, ax in enumerate(axes.flatten()):\n",
        "    fig.add_subplot(ax)\n",
        "    topic_words = dict(topics[i][1])\n",
        "    cloud.generate_from_frequencies(topic_words, max_font_size=600)\n",
        "    plt.gca().imshow(cloud)\n",
        "    plt.gca().set_title('Tópico ' + str(i), fontdict=dict(size=16))\n",
        "    plt.gca().axis('off')\n",
        "plt.subplots_adjust(wspace=0, hspace=0)\n",
        "plt.axis('off')\n",
        "plt.margins(x=0, y=0)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7DRRd4Xq0EXq"
      },
      "source": [
        "##Encontrando o tópico dominante em cada frase"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pYjZ5JG-0QlL"
      },
      "source": [
        "Uma das aplicações práticas da modelagem de tópicos é determinar de que tópico um determinado documento trata.\n",
        "\n",
        "Para descobrir isso, encontramos o número do tópico que tem a maior contribuição percentual naquele documento.\n",
        "\n",
        "A função abaixo agrega agradavelmente essas informações em uma tabela apresentável.format_topics_sentences()"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "id": "GWM84VIlmRQj",
        "outputId": "ab553792-3ee2-4d17-bd3e-8de806a544e6"
      },
      "source": [
        "def format_topics_sentences(ldamodel=lda_model, corpus=corpus, texts=data):\n",
        "    # Saída inicial\n",
        "    sent_topics_df = pd.DataFrame()\n",
        "\n",
        "    # Obtém o tópico principal em cada documento\n",
        "    for i, row in enumerate(ldamodel[corpus]):\n",
        "        row = sorted(row, key=lambda x: (x[1]), reverse=True)\n",
        "        # Obtém o tópico dominante, contribuição em percentual e palavras-chave para cada documento\n",
        "        for j, (topic_num, prop_topic) in enumerate(row):\n",
        "            if j == 0:  # => tópico dominante\n",
        "                wp = ldamodel.show_topic(topic_num)\n",
        "                topic_keywords = \", \".join([word for word, prop in wp])\n",
        "                sent_topics_df = sent_topics_df.append(pd.Series([int(topic_num), round(prop_topic,4), topic_keywords]), ignore_index=True)\n",
        "            else:\n",
        "                break\n",
        "    sent_topics_df.columns = ['Tópico dominante', 'Percentual de Contribuição', 'Palavras Chave']\n",
        "\n",
        "    # Adiciona o texto original no final da saída\n",
        "    contents = pd.Series(texts)\n",
        "    sent_topics_df = pd.concat([sent_topics_df, contents], axis=1)\n",
        "    return(sent_topics_df)\n",
        "\n",
        "\n",
        "df_topic_sents_keywords = format_topics_sentences(ldamodel=optimal_model, corpus=corpus, texts=data)\n",
        "\n",
        "# Formatando\n",
        "df_dominant_topic = df_topic_sents_keywords.reset_index()\n",
        "df_dominant_topic.columns = ['Número do documento', 'Tópico dominante', 'Perc. de Contribuição do Tópico', 'Palavras Chave', 'Transcription']\n",
        "\n",
        "# Mostre\n",
        "df_dominant_topic.head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Número do documento</th>\n",
              "      <th>Tópico dominante</th>\n",
              "      <th>Perc. de Contribuição do Tópico</th>\n",
              "      <th>Palavras Chave</th>\n",
              "      <th>Transcription</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>0.8643</td>\n",
              "      <td>temer, pressionam, diferenca, forca, prisao, d...</td>\n",
              "      <td>crise amplia diferenca de salario entre clt e ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.8812</td>\n",
              "      <td>temer, diz, rio, crise, presidente, recorde, b...</td>\n",
              "      <td>governo faz cortes apos deficit recorde de r$ ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.8812</td>\n",
              "      <td>pessimismo, ato, bolsonaro, franco, jato, stf,...</td>\n",
              "      <td>vitoria e dada como certa no senado, e pmdb mi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>15.0</td>\n",
              "      <td>0.8643</td>\n",
              "      <td>doria, nova, conta, fila, lei, gorjetas, garco...</td>\n",
              "      <td>operador diz que repatriou propina de eike a c...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.8944</td>\n",
              "      <td>brasil, ofensiva, dez, seis, pedido, cria, mes...</td>\n",
              "      <td>doria quer punir pichadores com multa pesada e...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>9.0</td>\n",
              "      <td>0.8812</td>\n",
              "      <td>brasil, ofensiva, dez, seis, pedido, cria, mes...</td>\n",
              "      <td>pedro parente: brasil nao deveria ter desaprec...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>15.0</td>\n",
              "      <td>0.8643</td>\n",
              "      <td>doria, nova, conta, fila, lei, gorjetas, garco...</td>\n",
              "      <td>trump indica juiz conservador para a suprema c...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.8643</td>\n",
              "      <td>admite, dificil, brasileiros, mi, rolls, royce...</td>\n",
              "      <td>obter visto para os eua fica mais dificil para...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.8417</td>\n",
              "      <td>nova, menos, adiar, carceragem, pf, rejeita, p...</td>\n",
              "      <td>comissao rejeita pilares da nova previdencia.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.8100</td>\n",
              "      <td>politica, maioria, carencia, ansiedade, preve,...</td>\n",
              "      <td>propostas radicais tem chance politica.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Número do documento  ...                                      Transcription\n",
              "0                    0  ...  crise amplia diferenca de salario entre clt e ...\n",
              "1                    1  ...  governo faz cortes apos deficit recorde de r$ ...\n",
              "2                    2  ...  vitoria e dada como certa no senado, e pmdb mi...\n",
              "3                    3  ...  operador diz que repatriou propina de eike a c...\n",
              "4                    4  ...  doria quer punir pichadores com multa pesada e...\n",
              "5                    5  ...  pedro parente: brasil nao deveria ter desaprec...\n",
              "6                    6  ...  trump indica juiz conservador para a suprema c...\n",
              "7                    7  ...  obter visto para os eua fica mais dificil para...\n",
              "8                    8  ...      comissao rejeita pilares da nova previdencia.\n",
              "9                    9  ...            propostas radicais tem chance politica.\n",
              "\n",
              "[10 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g1iEhmYwi4zX"
      },
      "source": [
        "##Referências\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FnfGiA4Zi7WE"
      },
      "source": [
        "\n",
        "\n",
        "[Gensim Topic Modelling](https://www.machinelearningplus.com/nlp/topic-modeling-gensim-python/#:~:text=%2C%20per_word_topics%3DTrue-,13.,certain%20weightage%20to%20the%20topic.)\n",
        "\n",
        "[Como modelar tópicos através de Latent Dirichlet Allocation (LDA) através da biblioteca Gensim](https://medium.com/somos-tera/como-modelar-t%C3%B3picos-atrav%C3%A9s-de-latent-dirichlet-allocation-lda-atrav%C3%A9s-da-biblioteca-gensim-1fa17357ad4b)\n",
        "\n",
        "[Topic Modeling and Latent Dirichlet Allocation (LDA) in Python](https://towardsdatascience.com/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24)\n",
        "\n",
        "[Avaliar Modelos de Tópico: Alocação Latente de Dirichlet (LDA)](https://towardsdatascience.com/evaluate-topic-model-in-python-latent-dirichlet-allocation-lda-7d57484bb5d0)\n",
        "\n"
      ]
    }
  ]
}