Sebastian Raschka • 10/5/2014

Naive Bayes and Text Classification

Read Original

This article explores Naive Bayes classifiers, a family of probabilistic models based on Bayes' theorem. It covers the theory behind these classifiers, their use in supervised pattern classification, and specifically introduces their application in text classification, with examples including spam filtering and song classification based on lyrics.

0 comments
#Machine Learning #Text Classification #Naive Bayes
Naive Bayes and Text Classification

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React vs Browser APIs (Mental Model)
Jivbcoop • 3 votes
2
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 2 votes
3
Building Type-Safe Compound Components
TkDodo Dominik Dorfmeister • 2 votes
4
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes
5
Better react-hook-form Smart Form Components
Maarten Hus • 1 votes