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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Mass Media/Social Media Communication and Campaigns (461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 7, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24585, first published .
Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

Authors of this article:

Tiago de Melo1 Author Orcid Image ;   Carlos M S Figueiredo1 Author Orcid Image
Article Authors Cited by (51) Tweetations (2) Metrics

Tiago de Melo   1 * , PhD ;   Carlos M S Figueiredo   1 * , PhD

1 Intelligent Systems Laboratory, Superior School of Technology, Amazonas State University, Manaus, Brazil

*all authors contributed equally

Corresponding Author:

  • Tiago de Melo, PhD
  • Intelligent Systems Laboratory
  • Superior School of Technology
  • Amazonas State University
  • Av Darcy Vargas, 1200
  • Manaus
  • Brazil
  • Phone: 55 9233487601
  • Email: tmelo@uea.edu.br