Sentiment Analysis

Sentiment analysis is a natural language processing (NLP) technique that uses artificial intelligence to determine the emotional tone or attitude expressed in text, speech, or social media content. It classifies data as positive, negative, or neutral, helping organizations understand public opinion, customer feedback, and brand perception. Machine learning models trained on large datasets analyze word patterns, context, and tone to detect subtle emotional cues. Businesses use sentiment analysis to improve customer experience, monitor reputation, and enhance marketing strategies. As AI models evolve, sentiment analysis is becoming more context-aware, capable of interpreting sarcasm, cultural nuances, and complex emotions.