GitHub - rheaj30/Sentiment_analysis: Conducted sentiment analysis on 1 million Elon Musk tweets utilizing embedding learning with three models: Support Vector Machine, Random Forest, and Naive Bayes. Generated a labeled dataset categorizing tweets into positive, negative, and neutral sentiments.

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Conducted sentiment analysis on 1 million Elon Musk tweets utilizing embedding learning with three models: Support Vector Machine, Random Forest, and Naive Bayes. Generated a labeled dataset categorizing tweets into positive, negative, and neutral sentiments.