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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Data.csv		Data.csv
Stock Sentiment Analysis.ipynb		Stock Sentiment Analysis.ipynb

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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.

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