Text Classification on Twenty Newsgroups Data Set

Source: UCI Machine Learning Repository

Dataset Download:

Abstract:

This data set consists of 20000 messages taken from 20 newsgroups.

Implemented Sklearn MultinomialNB()
Implemented Naive Bayes from scratch
Comparison between the two classifier

Results:

Sklearn MultinomialNB(): 0.8394
Naive Bayes from scratch: 0.8422

Clone the Project:

git clone https://github.com/wikiabhi/Text-Classification.git

MIT License Copyright (c) 2018 Abhishek