Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50150, first published .
A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data

A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data

A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data

Journals

  1. Lau N, Zhao X, O'Daffer A, Weissman H, Barton K. Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis. JMIR Cancer 2024;10:e52061 View
  2. Buldur M, Sezer B. Evaluating the accuracy of Chat Generative Pre-trained Transformer version 4 (ChatGPT-4) responses to United States Food and Drug Administration (FDA) frequently asked questions about dental amalgam. BMC Oral Health 2024;24(1) View
  3. Deiner M, Honcharov V, Li J, Mackey T, Porco T, Sarkar U. Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study. JMIR Infodemiology 2024;4:e59641 View
  4. Banerjee S, Dunn P, Conard S, Ali A. Mental Health Applications of Generative AI and Large Language Modeling in the United States. International Journal of Environmental Research and Public Health 2024;21(7):910 View
  5. Kim M, Lu X. Exploring the potential of using ChatGPT for rhetorical move-step analysis: The impact of prompt refinement, few-shot learning, and fine-tuning. Journal of English for Academic Purposes 2024;71:101422 View
  6. Fokides E, Peristeraki E. Comparing ChatGPT's correction and feedback comments with that of educators in the context of primary students' short essays written in English and Greek. Education and Information Technologies 2024 View
  7. Yu H, Fan L, Li L, Zhou J, Ma Z, Xian L, Hua W, He S, Jin M, Zhang Y, Gandhi A, Ma X. Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. Journal of Healthcare Informatics Research 2024;8(4):658 View
  8. Bedi S, Liu Y, Orr-Ewing L, Dash D, Koyejo S, Callahan A, Fries J, Wornow M, Swaminathan A, Lehmann L, Hong H, Kashyap M, Chaurasia A, Shah N, Singh K, Tazbaz T, Milstein A, Pfeffer M, Shah N. Testing and Evaluation of Health Care Applications of Large Language Models. JAMA 2024 View
  9. Guo Z, Lai A, Thygesen J, Farrington J, Keen T, Li K. Large Language Models for Mental Health Applications: Systematic Review. JMIR Mental Health 2024;11:e57400 View
  10. Nzobonimpa S, Savard J, Caron I, Lawarée J. Automating public policy: a comparative study of conversational artificial intelligence models and human expertise in crafting briefing notes. AI & SOCIETY 2024 View