Sentiment analysis involves analyzing text to determine whether it conveys a positive, negative, or neutral sentiment.There are three main approaches to sentiment analysis: rule-based systems, traditional machine learning, and deep learning.Rule-based systems follow predefined rules and word lists to identify sentiment based on certain keywords.Machine learning algorithms learn from data and identify sentiment based on patterns and examples.