This is a Naive Bayes classifier implementation written in JavaScript.
I took out the relevant algorithms from the appratus and natural modules, and also the Porter stemmer algorithm. All credit goes to them.
http://lab.moogs.io/bayes-classifier
npm install bayes-classifierbower install bayes-classifiervar BayesClassifier = require('bayes-classifier');
var classifier = new BayesClassifier();
var positiveDocuments = [
'I love tacos.',
'Dude, that burrito was epic!',
'Holy cow, these nachos are so good and tasty.',
'I am drooling over the awesome bean and cheese quesadillas.'
];
var negativeDocuments = [
'Gross, worst taco ever.',
'The buritos gave me horrible diarrhea.',
'I\'m going to puke if I eat another bad nacho.',
'I\'d rather die than eat those nasty enchiladas.'
];
classifier.addDocuments(positiveDocuments, 'positive');
classifier.addDocuments(negativeDocuments, 'negative');
classifier.train();
console.log(classifier.classify('I heard the mexican restaurant is great!')); // "positive"
console.log(classifier.classify('I don\'t want to eat there again.')); // "negative"
console.log(classifier.classify('The torta is epicly bad.')); // "negative"
console.log(classifier.classify('The torta is horribly awesome.')); // "positive"
console.log(classifier.getClassifications('Burritos are the meaning of life.'));
/*
[ { label: 'positive', value: 0.22222222222222224 },
{ label: 'negative', value: 0.11111111111111112 } ]
*/MIT