Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25431, first published .
Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis

Hyeju Jang   1, 2 , MSc, PhD ;   Emily Rempel   2 , MSc, PhD ;   David Roth   2 , MSc, PhD ;   Giuseppe Carenini   1 , MSc, PhD ;   Naveed Zafar Janjua   2, 3, 4 , MBBS, MSc, DrPH

1 Department of Computer Science, University of British Columbia, Vancouver, BC, Canada

2 British Columbia Centre for Disease Control, Vancouver, BC, Canada

3 School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada

4 Centre for Health Evaluation and Outcome Sciences, University of British Columbia, Vancouver, BC, Canada

Corresponding Author:

  • Naveed Zafar Janjua, MBBS, MSc, DrPH
  • British Columbia Centre for Disease Control
  • 655 West 12th Avenue
  • Vancouver, BC, V5Z 4R4
  • Canada
  • Phone: 1 604-707-2514
  • Email: naveed.janjua@bccdc.ca