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This project focuses on Sentiment Analysis, aiming to identify the emotional tone of textual data—whether it is positive, negative, or neutral. It leverages advanced Natural Language Processing (NLP) techniques and Machine Learning (ML) models to accurately classify and interpret sentiment from written content.