This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (311) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1520) New Methods (946) Chatbots and Conversational Agents (531) Artificial Intelligence (1379)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51069, first published .
Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study

Authors of this article:

Ziru Fu1 Author Orcid Image ;   Yu Cheng Hsu1 Author Orcid Image ;   Christian S Chan2, 3 Author Orcid Image ;   Chaak Ming Lau4 Author Orcid Image ;   Joyce Liu1 Author Orcid Image ;   Paul Siu Fai Yip1, 5 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Prescott M, Yeager S, Ham L, Rivera Saldana C, Serrano V, Narez J, Paltin D, Delgado J, Moore D, Montoya J. Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses. JMIR AI 2024;3:e54482 View
  2. Piao Y, Chen H, Wu S, Li X, Li Z, Yang D. Assessing the performance of large language models (LLMs) in answering medical questions regarding breast cancer in the Chinese context. DIGITAL HEALTH 2024;10 View
  3. Mun I. A study of the impact of ChatGPT self-efficacy on the information seeking behaviors in ChatGPT: the mediating roles of ChatGPT characteristics and utility. Online Information Review 2024 View