How can NLP be used for sentiment analysis?

The question is about NLP

Answer:

NLP can be used for sentiment analysis by applying techniques like tokenization, word embeddings, and machine learning classifiers to analyze text for emotional tone (e.g., positive, neutral, negative). Deep learning models like BERT further improve sentiment classification by understanding context and nuances in language.

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