In the field of Natural Language Processing (NL

Sentiment Analysis in NLP focuses on determining the sentiment expressed in a piece of text, classifying it as positive, negative, or neutral. This task is crucial for understanding opinions and emotions in customer reviews, social media posts, and survey responses. Sentiment analysis employs machine learning algorithms and natural language processing techniques to interpret subjective data. Other NLP tasks, such as tokenization and lemmatization, deal with breaking down text or simplifying it, while sentiment analysis specifically evaluates the emotional tone.