Sentiment Analysis is a technique in Natural Language Processing that identifies and extracts subjective information from text, such as opinions, emotions, or attitudes. It helps determine whether the expressed sentiment is positive, negative, or neutral, enabling applications like brand monitoring, customer feedback analysis, and social media insights to better understand public perception and emotional responses.