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bayes-classifier-js's Introduction

bayes-classifier-js

A JavaScript library for Bayesisan classification

Initial API ideas:

let classifier = new Classifier();

// Text to train, followed by category name
classifier.train("I am happy.", "happy");
classifier.train("I am sad and I am very sad.", "sad");
classifier.train("I have mixed feelings.", "mixed");
classifier.probabilities();

let results = classifier.guess("Yesterday, I was very very happy, so happy.");
console.log(results);

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bayes-classifier-js's Issues

Token validation

Allow user to pass in their own function for token validation?

guess() returns. . . ?

Some ideas:

  • Highest probability category
  • List of all categories and their probabilities
  • List of words and their scores / probabilities?

What else?

examples

  • train based on user input?
  • train based on preloaded text files?

when should probabilities() be called?

There's a function called probabilities() which calculates everything. The library should probably execute this function internally after each call to train()? Also, naming-wise it should probably be called something else. .. calculate()?

Tokenization

Allow use to pass in their own function to tokenize the text?

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