trunghieu-tran/Sentiment-Analysis-facebook-comments
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
Leverages NLTK for sentiment classification and integrates with Facebook Graph API to collect post comments, offering both interactive analysis (single-sentence classification) and automated pipelines for batch and streaming data. Real-time processing continuously monitors comment streams, triggering dashboard updates when sentiment conditions are met, while a clustering-based forecasting method predicts attitude trends. Built with Python using pandas, scikit-learn, and matplotlib for data processing and visualization.
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Jun 28, 2019
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