A. Fine-grained Sentiment Analysis: This involves classifying sentiments into categories like very positive, positive, neutral, negative, and very negative. Aspect-based Sentiment Analysis: This focuses on identifying sentiments about specific aspects or features of a product or service, like the taste of food or the speed of service in a restaurant. Emotion Detection: This type categorizes text into different emotions such as happiness, anger, sadness, etc.