This chapter explores sentiment analysis using LLMs like GPT-4, DeBERTa, and T5, and SLMs like DistilBERT, TinyBERT, and MobileBERT. It compares their performance in various sentiment analysis scenarios, including understanding nuanced sentiment, handling context, and classifying sentiment in real time.

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Sentiment Analysis with LLMs and SLMs

  • Venkata Gunnu,
  • Shubham Shah,
  • Anvesh Minukuri,
  • Jayanth Gopu

摘要

This chapter explores sentiment analysis using LLMs like GPT-4, DeBERTa, and T5, and SLMs like DistilBERT, TinyBERT, and MobileBERT. It compares their performance in various sentiment analysis scenarios, including understanding nuanced sentiment, handling context, and classifying sentiment in real time.