Optimization techniques for sentiment analysis based on llm (gpt-3)

HIGHLIGHTS

• What: This study provides an important reference for future sentiment analysis using large-scale language models. NLP is part of the overlap between AI, computer science, and linguistics, where the main goal is to make computers understand statements or words expressed in human language. In the experimental discussion, the authors examine the performance of the GPT-3 model and the impact of Fine-tuning for sentiment analysis optimization.
• Who: (GPT- and colleagues from the Computer Science, Columbia University, NY, USA have published the research: Optimization techniques for sentiment analysis based on LLM (GPT-3), in . . .
  

   

  

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