Naive Bayes classifier

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.

Demo

https://lab.miguelmota.com/bayes-classifier

Install

npm install bayes-classifier

bower install bayes-classifier

Usage

var 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 tasty.`)) // "positive"

console.log(classifier.getClassifications(`Burritos are the meaning of life.`))
/*
 [ { label: 'positive', value: 0.22222222222222224 },
   { label: 'negative', value: 0.11111111111111112 } ]
*/

Restoring a classifier to avoid re-training data

// Storing classifier
var storeFile = `${__dirname}/store.json`
fs.writeFileSync(storeFile, JSON.stringify(classifier))

// ...

// Restoring classifier
var classifier = new BayesClassifier()
var storedClassifier = require(storeFile)
classifier.restore(storedClassifier)

API

classifier.addDocument(doc, class)

classifier.addDocuments([docs], class)

classifier.train()

classifier.classify(doc)

classifier.getClassifications(doc)

classifier.restore(classifier)

Test

npm test

License

MIT