SENTIMENT ANALYSIS FOR CUSTOMER REVIEWS USING NATURAL LANGUAGE PROCESSING

Customer reviews have become one of the most valuable sources of feedback for businesses, as they provide real insights into how people feel about products and services.However, the sheer volume of reviews available online makes it difficult to manually understand customer opinions.Sentiment analysis, a Natural Language Processing (NLP) technique, offers a solution by automatically detecting whether a review expresses a positive, negative, or neutral sentiment.This study focuses on applying NLP methods to analyze customer reviews, enabling businesses to quickly identify customer satisfaction levels, recurring issues, and overall brand perception.By processing large amounts of textual data, sentiment analysis helps companies make data-driven decisions, improve customer experiences, and strengthen customer relationships.The outcome of this work highlights how technology can bridge the gap between raw customer feedback and meaningful business insights.