Luna-CaiC/MeToo-Movement-Modeling-NLP

End-to-end unsupervised text analytics pipeline processing 390K+ #MeToo tweets with Python, including regex-based text normalization, vectorization, topic modeling (LDA/NMF), sentiment scoring (TextBlob), and temporal pattern mining. Provides interpretable topic clusters and visualization of discourse trajectories during the movement.

14
/ 100
Experimental
No License No Package No Dependents
Maintenance 6 / 25
Adoption 1 / 25
Maturity 7 / 25
Community 0 / 25

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Last pushed

Dec 06, 2025

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