Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study.

Journal: Journal of medical Internet research
PMID: 38289662

Abstract

BACKGROUND: Sentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its colloquialism and multilingualism, make it different from other languages and pose additional challenges to sentiment analysis. Recent advances in models such as ChatGPT offer potential viable solutions.

Authors

  • Ziru Fu
    The Hong Kong Jockey Club Centre for Suicide Research and Prevention, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).
  • Yu Cheng Hsu
    The Hong Kong Jockey Club Centre for Suicide Research and Prevention, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).
  • Christian S Chan
    Department of Psychology, The University of Hong Kong, Hong Kong SAR, China (Hong Kong).
  • Chaak Ming Lau
    Department of Linguistics and Modern Language Studies, The Education University of Hong Kong, Hong Kong SAR, China (Hong Kong).
  • Joyce Liu
    Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Paul Siu Fai Yip
    Centre for Suicide Research and Prevention and the Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China.

Keywords

External Resources

Popular Topics
Recent Journals