Sentiment Analysis in NLP
Sentiment analysis is a widely used NLP technique that determines the emotional tone of a text. It is commonly applied in:
Social media monitoring to gauge public opinion on brands or products.
Customer reviews analysis to classify feedback as positive, negative, or neutral.
Financial market predictions based on news sentiment analysis.
Sentiment analysis models use lexicon-based approaches, machine learning classifiers, or deep learning techniques to interpret emotions within text. Pre-trained Transformer models, such as BERT and GPT, have significantly improved sentiment analysis accuracy by understanding nuanced language.