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forecasting-regressions

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One million StockTwits messages collected via API and stored in MongoDB, preprocessed with emoji/punctuation preservation, and classified using TF-IDF with Logistic Regression, SVM, Naïve Bayes, Random Forest, and MLP; extended with n-gram analysis, forecasting regressions, and event-study tests linking sentiment to short-term stock returns

  • Updated Oct 3, 2025
  • Jupyter Notebook

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