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This research paper explores the implementation of sentiment analysis techniques in the e-commerce sector, specifically targeting customer reviews for women's clothing. By leveraging various supervised machine learning models, the study aims to classify sentiments expressed in product reviews, thereby providing e-commerce businesses with valuable insights into consumer preferences and enhancing customer relationship management strategies.

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