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.