This paper is in the following e-collection/theme issue:

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Infodemiology and Infoveillance (1278) JMIR Theme Issue: COVID-19 Special Issue (2394) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Outbreak and Pandemic Preparedness and Management (1679)

Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21978, first published .
Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Authors of this article:

Sakun Boon-Itt1 Author Orcid Image ;   Yukolpat Skunkan2 Author Orcid Image
Article Authors Cited by (266) Tweetations (11) Metrics

Sakun Boon-Itt   1 , PhD ;   Yukolpat Skunkan   2 , MD

1 Department of Operations Management, Center of Excellence in Operations and Information Management, Thammasat Business School, Thammasat University, Bangkok, Thailand

2 Bangkok Christian Hospital, Bangkok, Thailand

Corresponding Author:

  • Sakun Boon-Itt, PhD
  • Department of Operations Management, Center of Excellence in Operations and Information Management
  • Thammasat Business School
  • Thammasat University
  • 2 Prachan Road
  • Pranakorn
  • Bangkok, 10240
  • Thailand
  • Phone: 66 26132200
  • Email: sboonitt@tu.ac.th