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senti

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Financial news headlines offer valuable NLP data for predicting stock performance through sentiment analysis. In Finance and Banking, language serves as a key tool for analysis, capturing emotional nuances that influence investor behavior and market dynamics. The project focuses on understanding how the subtleties of financial language impact diffe

  • Updated Mar 23, 2025
  • Jupyter Notebook

Fine-tuned ALBERT model for 3-class sentiment analysis (Negative / Neutral / Positive) on 500k+ tweets, achieving 92.4% accuracy. Includes comprehensive explainability with SHAP, LIME, and Captum (Integrated Gradients) — compared side-by-side with visualizations and top-word analysis. Also evaluated on IMDb reviews for cross-domain robustness.

  • Updated Dec 8, 2025
  • Jupyter Notebook

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