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level-naive-bayes

Bayes text classifier that runs on top of leveldb

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level-naive-bayes

Naive Bayes text classifier that runs on top of leveldb so you can work with datasets that doesn't fit in memory. Based on the bayes module.

npm install level-naive-bayes

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Usage

var bayes = require('level-naive-bayes')

var nb = bayes(db) // where db is a levelup instance

nb.train('positive', 'amazing, awesome movie!! Yeah!! Oh boy.', function() {
  nb.train('positive', 'this is incredibly, amazing, perfect, great!', function() {
    nb.train('negative', 'terrible, shitty thing. Damn. Sucks!!', function() {
      nb.classify('awesome, cool, amazing!! Yay.', function(err, category) {
        console.log('category is '+category)
      })
    })
  })
})

API

nb = bayes(db, [options])

Creates a new instance. db should be a levelup. Options include:

{
  tokenize: function(str) {
    return str.split(' ') // pass in custom tokenizer
  }
}

nb.train(category, text, cb)

Train the classifier with the given text for a category. If the text is already tokenized pass in an array of tokens instead of text

nb.classify(text, cb)

Classify the given text into a category. If the text is already tokenized pass in an array of tokens instead of text

License

MIT

FAQs

Package last updated on 15 Dec 2014

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