Sentiment Analysis refers to the computational process of identifying and categorizing the emotions or attitudes expressed in a piece of text. It involves using natural language processing (NLP) and machine learning techniques to determine whether the sentiment conveyed is positive, negative, or neutral. This analysis can help businesses understand customer opinions, gauge public sentiment on social media, and inform decision-making by providing insights into how people feel about various topics, products, or services.
