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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042) Mass Media/Social Media Communication and Campaigns (462) Infodemiology and Infoveillance (1350) Innovative Methods in Public Health and Surveillance (332) Machine Learning (1471) Big Data (241) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1643) Behavioural Surveillance for Public Health (229) Natural Language Processing (693)

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
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