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financial-news-analysis

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Regime-based evaluation framework for financial NLP stability. Implements chronological cross-validation, semantic drift quantification via Jensen-Shannon divergence, and multi-faceted robustness profiling. Replicates Sun et al.'s (2025) methodology with modular, auditable Python codebase.

  • Updated Oct 3, 2025
  • Jupyter Notebook

fin-trend-analyzer analyzes financial news and sentiment to identify trends and risks in AI and tech stocks, providing structured insights for quick market assessment.

  • Updated Dec 21, 2025
  • Python

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