Naive Bayes Classifier for node.js
npm install bayesbayes: A Naive-Bayes classifier for node.jsbayes takes a document (piece of text), and tells you what category that document belongs to.
You can use this for categorizing any text content into any arbitrary set of categories. For example:
- is an email spam, or not spam ?
- is a news article about technology, politics, or sports ?
- is a piece of text expressing positive emotions, or negative emotions?
``
npm install bayes
`javascript
var bayes = require('bayes')
var classifier = bayes()
// teach it positive phrases
await classifier.learn('amazing, awesome movie!! Yeah!! Oh boy.', 'positive')
await classifier.learn('Sweet, this is incredibly, amazing, perfect, great!!', 'positive')
// teach it a negative phrase
await classifier.learn('terrible, shitty thing. Damn. Sucks!!', 'negative')
// now ask it to categorize a document it has never seen before
await classifier.categorize('awesome, cool, amazing!! Yay.')
// => 'positive'
// serialize the classifier's state as a JSON string.
var stateJson = classifier.toJson()
// load the classifier back from its JSON representation.
var revivedClassifier = bayes.fromJson(stateJson)
`
Returns an instance of a Naive-Bayes Classifier.
Pass in an optional options object to configure the instance. If you specify a tokenizer function in options, it will be used as the instance's tokenizer. It receives a (string) text argument - this is the string value that is passed in by you when you call .learn() or .categorize(). It must return an array of tokens. The default tokenizer removes punctuation and splits on spaces.
Eg.
`js
var classifier = bayes({
tokenizer: function (text) { return text.split(' ') }
})
var classifier2 = bayes({
tokenizer: async function (body) { return request(segmentService, { body }) }
})
`
Teach your classifier what category the text belongs to. The more you teach your classifier, the more reliable it becomes. It will use what it has learned to identify new documents that it hasn't seen before.
Returns the category (with promise) it thinks text belongs to. Its judgement is based on what you have taught it with .learn().
Returns the JSON representation of a classifier.
Returns a classifier instance from the JSON representation. Use this with the JSON representation obtained from classifier.toJson()`
(The MIT License)
Copyright (c) by Tolga Tezel
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