Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.

Journal: Journal of medical Internet research
Published Date: Nov 25, 2020

Abstract

BACKGROUND: It is important to measure the public response to the COVID-19 pandemic. Twitter is an important data source for infodemiology studies involving public response monitoring.

Authors

  • Jia Xue
    Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.
  • Junxiang Chen
    School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
  • Ran Hu
    Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.
  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Chengda Zheng
    Faculty of Information, University of Toronto, Toronto, ON, Canada.
  • Yue Su
    Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Tingshao Zhu
    CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

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