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Sentiment Analysis
NLP & Language Models
Evaluation of sentiment and opinion in text.
Sentiment analysis determines whether a text expresses a positive, negative, or neutral attitude.
- Applications: Product reviews, social media, market research.
- Techniques: Lexicon-based, machine learning, transformer models.
- Challenges: Irony, context dependence, ambiguity.