Sentiment Analysis in the Era of Large Language Models: A Reality Check

Sentiment analysis (SA) has been a longstanding research area in natural language processing.With the recent advent of large language models (LLMs), there is great potential for their employment on SA problems.However, the extent to which current LLMs can be leveraged for different sentiment analysis tasks remains unclear.This paper aims to provide a comprehensive investigation into the capabilities of LLMs in performing various sentiment analysis tasks, from conventional sentiment classification to aspect-based sentiment analysis and multifaceted analysis of subjective texts.We evaluate performance across 13 tasks on 26 datasets and compare the results against small language models (SLMs) trained on…

• NS
  National Science Foundation

  Awards: IIS-1838770, 2225427, CNS-2225427, 1838770, 1910424