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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Mass Media/Social Media Communication and Campaigns (450) Infodemiology and Infoveillance (1278) Innovative Methods in Public Health and Surveillance (307) Machine Learning (1400) Big Data (220) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Behavioural Surveillance for Public Health (207) Natural Language Processing (650)

Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27976, first published .
Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Authors of this article:

Michele Miller1 Author Orcid Image ;   William Romine1 Author Orcid Image ;   Terry Oroszi1 Author Orcid Image
Article Authors Cited by (2) Tweetations (13) Metrics

Michele Miller   1 , PhD ;   William Romine   1 , PhD ;   Terry Oroszi   1 , EdD

1 Department of Pharmacology & Toxicology, Wright State University, Dayton, OH, United States

Corresponding Author:

  • Michele Miller, PhD
  • Department of Pharmacology & Toxicology
  • Wright State University
  • 3640 Colonel Glenn Hwy
  • Dayton, OH, 45435
  • United States
  • Phone: 1 (937) 775-1000
  • Email: millerme91@gmail.com