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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Natural Language Processing (706) Infectious Diseases (non-STD/STI) (1592)

Published on in Vol 5, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11036, first published .
Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic

Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic

Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic

Authors of this article:

Ravali Mamidi1 Author Orcid Image ;   Michele Miller2 Author Orcid Image ;   Tanvi Banerjee1, 3 Author Orcid Image ;   William Romine2 Author Orcid Image ;   Amit Sheth1, 3 Author Orcid Image
Article Authors Cited by (24) Tweetations (4) Metrics

Ravali Mamidi   1 * , MS ;   Michele Miller   2 * , MS ;   Tanvi Banerjee   1, 3 , PhD ;   William Romine   2 , PhD ;   Amit Sheth   1, 3 , PhD

1 Computer Science and Engineering, Wright State University, Dayton, OH, United States

2 Department of Biological Sciences, Wright State University, Dayton, OH, United States

3 Kno.e.sis, Computer Science and Engineering, Wright State University, Dayton, OH, United States

*these authors contributed equally

Corresponding Author:

  • Michele Miller, MS
  • Department of Biological Sciences
  • Wright State University
  • 3640 Colonel Glenn Hwy.
  • Dayton, OH, 45435
  • United States
  • Phone: 1 5742613969
  • Fax: 1 9377753320
  • Email: millerme91@gmail.com