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, CA

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

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

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

Corresponding Author: