Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts.

Journal: Public health
Published Date: Dec 1, 2022

Abstract

OBJECTIVES: This study aimed to study the public's sentiments on the current monkeypox outbreaks via an unsupervised machine learning analysis of social media posts.

Authors

  • Q X Ng
    Health Services Research Unit, Singapore General Hospital, Singapore 168582, Singapore.
  • C E Yau
    NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
  • Y L Lim
    NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
  • L K T Wong
    School of Medicine, Trinity College Dublin, The University of Dublin, Dublin D02 PN40, Ireland.
  • T M Liew
    Department of Psychiatry, Singapore General Hospital, Singapore 169608, Singapore; SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore. Electronic address: liew.tau.ming@singhealth.com.sg.

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