Sentiment Analysis is a natural language processing technique that determines the emotional tone, attitude, or opinion expressed in text. It classifies text as positive, negative, or neutral, and can provide more granular emotional categorization such as joy, anger, fear, or sadness.

Types of sentiment analysis include:

• Polarity Detection: Positive, negative, or neutral classification
• Emotion Detection: Identifying specific emotions (happy, sad, angry, etc.)
• Aspect-Based Sentiment: Analyzing sentiment toward specific features or topics
• Intent Analysis: Understanding user intentions behind the sentiment

Sentiment analysis is commonly used in social media monitoring, customer feedback analysis, brand reputation management, and market research to understand public opinion and customer satisfaction.