arifsiddiqi1 / SocialSpamFinder

A machine learning algorithm that can detect fake users on the twitter social graph

SocialSpamFinder

A machine learning algorithm that can detect fake users on the twitter social graph

Introduction

The spam finder can identify fake users in the twitter social graph. It uses a naive bayesian classifier to classify them accordingly.

Requirments

• Python 2.7
• NLTK

Twitter API Instructions

• Register as a developer with Twitter at https://dev.twitter.com/
• Create new app and note API keys at https://apps.twitter.com/

Misc Notes

• You can find fake users to train your data with by simply searching "fake twitter users"
• You will need to replace the twitter credentials in twitterbridge with your own in order to use the program.