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Sentiment analysis is one of the fundamental techniques in natural language processing used to automatically detect customer reviews' opinions and emotions. With the rapid growth of online shopping platforms, the volume of customer feedback continues to rise each day, making manual analysis impractical. This paper presents a machine learning-based approach for analyzing the sentiment in customer reviews. Sentiment classification is done using Logistic Regression following text preprocessing and feature extraction methods. The proposed system demonstrates strong performance in accurately classifying customer sentiments and provides valuable insights for businesses to assess customer satisfaction and improve their services accordingly