Sentiment analysis of social media posts involves using natural language processing (NLP) techniques to determine the emotional tone behind a series of words. By analyzing posts, this method helps understand public opinion on various topics. Machine learning models are trained on labeled datasets to classify text as positive, negative, or neutral. This analysis can provide valuable insights for businesses and social researchers by revealing trends and public sentiments in real-time.