jubins/MachineLearning-Detecting-Twitter-Bots
Custom classification algorithm to sense the bots vs human on social media space like twitter
Implements a custom classification algorithm with extensive feature engineering across 20 Twitter account attributes, ultimately selecting the most predictive features to achieve >95% AUC. Built with scikit-learn, pandas, and numpy for data processing and model training. Compares multiple machine learning approaches before settling on a custom implementation optimized for bot detection accuracy.
130 stars. No commits in the last 6 months.
Stars
130
Forks
70
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 17, 2022
Commits (30d)
0
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