GitHub - LokeshKenche/Sentiment-Analysis-Stock: Stock Sentiment Analysis using News Headlines This project analyzes stock market trends by classifying news headlines into positive or negative sentiments using a RandomForest Classifier. Achieved 84.1% accuracy with feature extraction using Bag of Words. Technologies: Python, Scikit-Learn, Pandas.

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Sentiment-Analysis-Stock

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Stock Sentiment Analysis using News Headlines This project analyzes stock market trends by classifying news headlines into positive or negative sentiments using a RandomForest Classifier. Achieved 84.1% accuracy with feature extraction using Bag of Words. Technologies: Python, Scikit-Learn, Pandas.

data-cleaning feature-extraction machine-learning news-analysis nlp python random-forest-classifier sentiment-analysis stock-market-analysis

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