Sentiment Analysis and Emotion Recognition are two distinct yet related concepts in speech understanding. While both involve determining an individual's opinion or emotional state, sentiment analysis typically focuses on text-based classification tasks to determine whether the author has a positive or negative viewpoint. Common applications include analyzing customer feedback, monitoring social media conversations, and tracking brand reputation. However, challenges such as detecting sarcasm can limit its effectiveness.