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.

Journal: JMIR mental health
PMID: 38271138

Abstract

BACKGROUND: Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social media, and their performance in the health care context remains relatively unknown. Moreover, existing studies indicate that these tools often lack accuracy and produce inconsistent results.

Authors

  • Juan Antonio Lossio-Ventura
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
  • Rachel Weger
    School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
  • Angela Y Lee
    Department of Communication, Stanford University, Stanford, CA, United States.
  • Emily P Guinee
    National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
  • Joyce Chung
    National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States.
  • Lauren Atlas
    National Center For Complementary and Alternative Medicine, National Institutes of Health, Bethesda, MD, United States.
  • Eleni Linos
    School of Medicine, Stanford University, Stanford, CA, United States.
  • Francisco Pereira
    National Institute of Mental Health, Bethesda, MD, USA.

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