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Definition

Sentiment Analysis

Sentiment Analysis is an NLP task that uses classification models to identify and extract subjective information (positive, negative, or neutral tones) from text datasets.

Frequently Asked Questions

How do models evaluate sentiment?

By mapping text to features (embeddings) and passing them to classifiers trained on labeled datasets of positive/negative text.

Can LLMs perform sentiment analysis?

Yes, LLMs perform sentiment analysis at zero-shot or few-shot accuracy, capturing complex sarcasm better than classical algorithms.

Quick Facts

  • CategoryNatural Language Processing
  • Key ApplicationBrand monitor tracking, customer review sorting, and algorithm trading signals

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