Customer sentiment analysis is the process of using AI and analytics to interpret customer emotions based on text, speech, or survey responses. By analyzing interactions from emails, chat conversations, social media, and reviews, businesses can gauge customer satisfaction, detect pain points, and predict churn risks. CRM-integrated sentiment analysis tools categorize feedback as positive, neutral, or negative, enabling businesses to take proactive steps in improving customer relationships. Advanced solutions use machine learning and natural language processing (NLP) to refine sentiment accuracy. This feature is particularly useful in customer support, brand reputation management, and personalized marketing strategies.