Displaying 1 to 8 from 8 results

bayes - Naive-Bayes Classifier for node.js

  •    Javascript

bayes takes a document (piece of text), and tells you what category that document belongs to. Returns an instance of a Naive-Bayes Classifier.

libtext_bayes - Just another Naive Bayes text classifier library for C++

  •    C++

This is a example how to use Naive Bayes to classify SPAM messages, you can use it for other purposes... Optimizing with inline ASM (I think do it by using SiMD)...

bayes-classifier - Naive Bayes Classifier in JavaScript

  •    Javascript

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.

nbayes - A Naive Bayes classifier written in JavaScript.

  •    Javascript

nbayes is a lightweight Naive Bayes Classifier written in vanilla JavaScript. It classifies a document (arbitrary piece of text) among the classes (arbitrarily named categories) it has been trained with before. This is all based on simple mathematics. As an example, you could use nbayes to answer the following questions. nbayes offers a simple and straightforward API, keeping it below 3kb (minified). It is a rewrite of ttezel/bayes and thoroughly tested.

whichx - A small, no dependencies, Naive Bayes Text Classifier for JavaScript

  •    Javascript

WhichX is a Naive Bayes' Classifier written in Javascript for classifying short text descriptions into categories. It is a very small library with a very simple API and no dependencies. To see a working demo you can also go to http://www.rudikershaw.com/articles/whichpet. If you are using Node start by requiring whichx.

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