Computer Science
Sentiment Analysis in the Era of Large Language Models: A Reality Check
W. Zhang, Y. Deng, et al.
This paper offers a comprehensive investigation of large language models (LLMs) across 13 sentiment-analysis tasks on 26 datasets, comparing them to small, domain-tuned models. Findings show LLMs excel in few-shot settings and simpler tasks but struggle with complex, structured sentiment phenomena; the authors also introduce the SENTIEVAL benchmark and release data and code. This research was conducted by Authors present in <Authors> tag.
~3 min • Beginner • English
Related Publications
Explore these studies to deepen your understanding of the subject.
