Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic.

Authors

  • Man Hung
    Department of Orthopaedics, University of Utah, Salt Lake City, Utah, U.S.A.
  • Evelyn Lauren
    Department of Biostatistics, Boston University, Boston, MA, United States.
  • Eric S Hon
    Department of Economics, University of Chicago, Chicago, IL, United States.
  • Wendy C Birmingham
    Department of Psychology, Brigham Young University, Provo, UT, United States.
  • Julie Xu
    College of Nursing, University of Utah, Salt Lake City, UT, United States.
  • Sharon Su
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.
  • Shirley D Hon
    Department of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT, United States.
  • Jungweon Park
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.
  • Peter Dang
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.
  • Martin S Lipsky
    College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT, United States.