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ieee-xplore

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Research-oriented AI framework that studies stock market volatility by combining LSTM-based time-series modeling with sentiment analysis from financial news and regulatory events. Includes comparative evaluation of numeric and sentiment-integrated models.

  • Updated Jul 11, 2026
  • Python

Keyword-driven academic paper search across 11 sources (arXiv, Semantic Scholar, OpenAlex, PubMed, IEEE, ACM, DBLP, Crossref, OpenAIRE, Springer, Scholar) → thesis-style PowerPoint + Excel + BibTeX in one CLI call. Includes an MCP server. 14-language i18n.

  • Updated Jun 14, 2026
  • Python

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