jubins/MachineLearning-Detecting-Twitter-Bots
Custom classification algorithm to sense the bots vs human on social media space like twitter
This project helps social media managers, marketing analysts, or public relations specialists identify automated accounts on Twitter. By analyzing features of Twitter profiles, it takes in account data and determines if a profile is a bot or a real user. This allows users to better understand their audience or the source of engagement.
130 stars. No commits in the last 6 months.
Use this if you need to quickly assess whether a Twitter account is a bot or a genuine human user to refine your social media analysis or audience segmentation.
Not ideal if you need a real-time, high-volume bot detection system integrated directly into a live application.
Stars
130
Forks
70
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 17, 2022
Commits (30d)
0
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