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This project leverages Natural Language Processing (NLP) to classify disaster-related tweets using a Naive Bayes classifier. Implemented with Streamlit, it provides an interactive web application to visualize and analyze tweet classifications in real-time, aiding in timely and effective disaster response.
This project leverages Natural Language Processing (NLP) to classify disaster-related tweets using a Naive Bayes classifier. Implemented with Streamlit, it provides an interactive web application to visualize and analyze tweet classifications in real-time, aiding in timely and effective disaster response.