Sentiment Analysis

Sentiment analysis is a natural language processing (NLP) technique used to determine the emotional tone behind a series of words. It involves classifying text as positive, negative, or neutral, allowing organizations to understand public sentiment about products, services, or events. This analysis can be performed using various methods, including machine learning algorithms and lexicon-based approaches. Common use cases include monitoring social media sentiment, analyzing customer feedback, and enhancing user experiences by tailoring responses based on emotional context.