marcaureledivernois/tweet_sklearn
NLP repo for our paper "StockTwits Classified Sentiment and Stock Returns". StockTwits data is available in the README.
This project helps financial analysts and traders understand how public sentiment expressed on StockTwits relates to stock market movements. It processes millions of social media messages, categorizes their sentiment (positive, negative, neutral) using advanced text analysis, and provides a clear sentiment score that can be linked to stock returns. The output helps users evaluate market mood and its immediate impact on individual stocks.
No commits in the last 6 months.
Use this if you are a quantitative analyst or trader seeking to incorporate social media sentiment data into your stock return analysis, particularly around significant market events.
Not ideal if you are looking for a general-purpose sentiment analysis tool for non-financial text or for predicting long-term stock movements.
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Last pushed
Oct 07, 2025
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