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

ABSTRACT:

Background

Social media is a rich source where we can learn about people's reactions to social issues. As COVID-19 has impacted people's lives, it is essential to capture how people react to public health interventions and understand their concerns.

Objective

We aim to investigate people's reactions and concerns about COVID-19 in North America, especially in Canada.

Methods

We analyzed COVID-19-related tweets using topic modeling and aspect-based sentiment analysis (ABSA), and interpreted the results with public health experts. To generate insights on the effectiveness of specific public health interventions for COVID-19, we compared timelines of topics discussed with the timing of implementation of interventions, synergistically including information on people's sent

SUBMITTER: Jang H 

PROVIDER: S-EPMC7879725 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature