Sentiment analysis is an automated process that determines the emotional tone behind a body of text, categorizing it as positive, negative, or neutral. This technique leverages Natural Language Processing (NLP) methods to analyze customer feedback, social media comments, and product reviews, enabling businesses to gauge public opinion and brand reputation efficiently. By employing various algorithms, including rule-based and machine learning approaches, sentiment analysis helps organizations extract valuable insights from large volumes of unstructured data. As a result, it plays a crucial role in enhancing customer experiences and informing strategic decision-making in today’s data-driven landscape.