The technology that allows for the analysis of sentiment in social media is known as sentiment analysis. This application of natural language processing (NLP) leverages algorithms and machine learning to evaluate user-generated content, determining the emotional tone behind text data. By categorizing comments as positive, negative, or neutral, businesses can gauge public perception, inform marketing strategies, and address customer concerns more effectively.