Naive Bayes Machine Learning Model using Node JS

SYNOPSIS

A node JS script that develops a Naive Bayes Model for SMS spam detection.

BACKGROUND

Naive Bayes is a probabilistic model that is based on Bayes Theorem. It is popularly used as a text categorization, whether the given text belongs to specific class or not. For example,

1. Sports or Politics
2. Email Spam

IMPORTANT REQUIREMENTS

NodeJS and NPM

• Please download NodeJS and NPM from this link https://nodejs.org/en/download/
• Download only the stable version

FILES PROVIDED

    --- dataset/
        -test.txt
        -train.txt
        -readme.txt (dataset)
    --- classifier.js

INSTRUCTIONS

1. Make sure you have NodeJS and NPM installed. Test it by entering the following commands in your command prompt/terminal

• Windows Users (Command Prompt)

node --version
npm --version

• Linux Users (Terminal)

nodejs -version
npm -version 

• Mac Users (Terminal)

node -v 
npm -v

2. Download the files provided to a folder (new folder)
3. Go to the directory from terminal where you have downloaded the files.

• All Operating Systems

cd <Downloaded_Directory_Location>/ 

4. Now install the NPM Packages using the following commands :

• All Operating Systems

npm install bayes 
npm install line-reader-sync

5. After you have installed the necessary packages you can now execute the classifier by entering the following commands.

• Windows/Mac Operating Systems

node classifier.js 

• Linux Operating Systems

nodejs classifier.js

6. You can see the results on the console.

References

1. https://en.wikipedia.org/wiki/Naive_Bayes_classifier
2. https://nodejs.org/en/
3. https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection#
4. https://en.wikipedia.org/wiki/Precision_and_recall
5. https://www.npmjs.com/package/bayes

Copyright © 2015 Vaikunth Sridharan