In your project's root directory use:
npm install crazyhorse
Crazy horse will be one function call. It will take an array of sentence strings or a single string of sentences (I delimit/separate them with '. ' within the string).
var crazyhorse = require('crazyhorse')
crazyhorse(list_of_sentences, function(remixed_sentence){
console.log(remixed_sentence)
})
We wil produce simple sentences at first of form [Noun Phrase][Verb Phrase].
Ideally eventually we will have a sentence structure and grammar like so:
Sentence structure produced by crazyhorse:
[Interjection]||[CurseWord],[Sentence][Random Final Punctuation]
[Noun Phrase] [Verb Phrase]
[Verb][NounPhrase]
[NounPhrase][Sentence]
[Noun Phrase][Verb Phrase]
Simple Grammar:
[Noun Phrase] : [Article][Adjective || Adverb][Noun] || [Possesive][Noun || ProperNoun]
[Verb Phrase] : [Verb][NounPhrase]
[Sentence] : [Preposition][Sentence] || [Noun Phrase][Verb Phrase]
Test sentence list to be used as a list of sentences:
var list_of_sentences = "Water polo, or Water ball, is a team water sport. The playing team consists of six field players and one goalkeeper. The winner of the game is the team that scores the most goals. Game play involves swimming, treading water (using a sort of kicking motion known as 'eggbeater kick'), players passing the ball while being defended by opponents, and scoring by throwing the ball into a net defended by a goalie. 'Man-up' (or 'power play') situations occur frequently. Water polo, therefore, has strong similarities to the land-based game of team handball.The White House says now is not the time for Congress to get involved on Iran. When you skydive you have a backup altimeter that will deploy the chute at 1000 feet. All things normal, you'll live but have a rough landing if you are unconscious. The dangerous parts are what obstacles are there. You don't jump directly over the landing zone. You fly to it under canopy with the winds. Without guidance, thing like that river become deadly for an unconscious skydiver. It is also all over in today's Championship game as goals from Bradley Johnson and Lewis Grabban secure Norwich a league double over local rivals Ipswich. College admission season ignites deep anxieties for Asian American families, who spend more than any other demographic on education. At elite universities across the U.S., Asian Americans form a larger share of the student body than they do of the population as a whole. And increasingly they have turned against affirmative action policies that could alter those ratios, and accuse admissions committees of discriminating against Asian American applicants. Last year, a rumor that Harvard University would stop accepting any more Asian American students from San Marino High School spread like a trending hashtag. Just 12 hours ago, I posted a brief piece about the continuing Europtechnopanic in Germany and the effort of publishers there to blame their every trouble on Google—even the so-called sin of free content and the price of metaphoric wurst. Tomorrowland: In Silicon Valley, a new elite doesn’t just want to determine what we consume but how we live. They want to change the world and accept no regulation. Must we stop them? It is nothing less than prewar propaganda, trying to stir up a populace against a boogeyman enemy in hopes of goading politicians to action to stop these people. If anyone would know better, you’d think they would. Schade."
Ramblings:
So one function well need to have is the ability to remember where words came from after they've been mixed.
In otherwords save an array with references to the original tweet.
The selection of words process should not be totally random. We should allow users to place weights on different tags returned by pos node module. This also lends itself well to machine learning in the future. Basically the wrong part of speech will never replace the wrong one( even if the right one has a 0 weight) but in a sentence where either could be used the part tag with higher weight will supercede.
POS tags:
CC Coord Conjuncn and,but,or
CD Cardinal number one,two
DT Determiner the,some
EX Existential there there
FW Foreign Word mon dieu
IN Preposition of,in,by
JJ Adjective big
JJR Adj., comparative bigger
JJS Adj., superlative biggest
LS List item marker 1,One
MD Modal can,should
NN Noun, sing. or mass dog
NNP Proper noun, sing. Edinburgh
NNPS Proper noun, plural Smiths
NNS Noun, plural dogs
POS Possessive ending 's
PDT Predeterminer all, both
PP$ Possessive pronoun my,one's
PRP Personal pronoun I,you,she
RB Adverb quickly
RBR Adverb, comparative faster
RBS Adverb, superlative fastest
RP Particle up,off
SYM Symbol +,%,&
TO 'to' to
UH Interjection oh, oops
VB verb, base form eat
VBD verb, past tense ate
VBG verb, gerund eating
VBN verb, past part eaten
VBP Verb, present eat
VBZ Verb, present eats
WDT Wh-determiner which,that
WP Wh pronoun who,what
WP$ Possessive-Wh whose
WRB Wh-adverb how,where
, Comma ,
. Sent-final punct . ! ?
: Mid-sent punct. : ; "
$ Dollar sign $
# Pound sign #
" quote "
( Left paren (
) Right paren )
Structure of the Buckets:
{
"CC":["and", "or", "but"],
.
.
.
"DT":["the", "some"],
"NN":["dog", "cat", "frog"],
"NNP":["Edinburgh", "Jack"],
.
.
.
}
Nitpicked the most impactful curse words from: