Sentiment Analysis

Sentiment analysis is a natural language processing (NLP) technique that identifies and interprets the emotional tone behind text data. It categorizes sentiments as positive, negative, or neutral—enabling organizations to gauge public opinion, customer feedback, and social media conversations at scale. Using machine learning and linguistic algorithms, sentiment analysis can detect nuances such as sarcasm, intensity, or emotion. Businesses use it to monitor brand perception, improve customer experience, and inform marketing or product strategies. As a key component of voice-of-the-customer programs, sentiment analysis helps transform unstructured data into actionable insights.