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

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 2025;49(2):373 View
  4. Sebo P. Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review. Journal of Medical Internet Research 2024;26:e57667 View
  5. Wang Z, Huang D, Cui J, Zhang X, Ho S, Cambria E. A review of Chinese sentiment analysis: subjects, methods, and trends. Artificial Intelligence Review 2025;58(3) View
  6. Yeung A, Hammerle F, Behrens S, Matin M, Mickael M, Litvinova O, Parvanov E, Kletecka-Pulker M, Atanasov A. Online Information About Side Effects and Safety Concerns of Semaglutide: Mixed Methods Study of YouTube Videos. JMIR Infodemiology 2025;5:e59767 View
  7. Chai C, Weng S, Feng R, Wang J, Wong Y, Wang Y. A behavioral inoculation method to improve critical takeover performance of novice drivers in conditionally automated driving. Traffic Injury Prevention 2025:1 View
  8. Kim K, Kim S. Large Language Models’ Accuracy in Emulating Human Experts’ Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study. Journal of Medical Internet Research 2025;27:e63631 View
  9. Kastrati M, Imran A, Hashmi E, Kastrati Z, Daudpota S, Biba M. Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence. Engineering Applications of Artificial Intelligence 2025;149:110136 View
  10. Scerri K, Attard M. Active travel street intervention ideas in Malta: Evaluating citizen feedback using sentiment analysis. Journal of Transport Geography 2025;126:104241 View
  11. Wang M, Ma R, Shen G, Xue J. How Large Language Models Empower the Analysis of Online Public Engagement for Mega Infrastructure Projects: Cases in Hong Kong. IEEE Transactions on Engineering Management 2025;72:1262 View
  12. Nasution A, Onan A, Murakami Y, Monika W, Hanafiah A. Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets. IEEE Access 2025;13:94009 View

Conference Proceedings

  1. Kawamura H, Wang Z, Harima K, Yamanishi T, Miura T, Maeda Y, Okada Y, Zempo K. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. pSCOUTER: Time-Series Emotion Classification Using Contactless Measured Multimodal Biosignals in Medical Diagnosis View
  2. Richardson F, Villavicencio A, Menezes R. Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. The Rephrased Reality: Analysing Sentiment Shifts in LLM-Rephrased Text View