Sentiment analysis systems process text to detect tone, intent, and emotion in real time. They identify how people feel about products, services, or experiences by analyzing words, patterns, and context. Each message becomes a data point that reveals public opinion and helps brands respond with precision.
By combining natural language processing and machine learning, these systems transform raw feedback into clear insights. Businesses use them to track satisfaction, detect issues early, and guide smarter decisions based on what their audience truly feels.
