TwitterBotDetection

Twitonomy :

https://www.twitonomy.com/dashboard.php

GET users/show :

https://developer.twitter.com/en/docs/accounts-and-users/follow-search-get-users/api-reference/get-users-show

GET statuses/user_timeline :

https://developer.twitter.com/en/docs/tweets/timelines/api-reference/get-statuses-user_timeline

User Object :

https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/user-object

Tweet Object :

https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/tweet-object

Entities Object :

https://developer.twitter.com/en/docs/tweets/data-dictionary/overview/entities-object

Python Twitter Tools :

https://github.com/sixohsix/twitter/blob/master/twitter/api.py

Twitter Python API official :

https://python-twitter.readthedocs.io/en/latest/twitter.html

Twitter python API reference (Tweepy) :

http://docs.tweepy.org/en/latest/api.html

Tweet Scraping :

https://pypi.org/project/GetOldTweets3/

Unused scraper :

https://github.com/5hirish/tweet_scrapper/blob/master/USAGE.md

Training data :

https://botometer.iuni.iu.edu/bot-repository/datasets.html

FILES

1. Content_Data.csv - content features file
2. Graph_Data.csv - graph features file
3. Training_Data.csv - final, merged features for training the model
4. MergingTrainingData (py) - code used to merge features
5. RVMTrainingModel (py) - code for training the model, training model used : RVM with a linear kernel, testing accuracy : 81.25%