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twitter-dataset

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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.

  • Updated Dec 6, 2025
  • Jupyter Notebook

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