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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Mass Media/Social Media Communication and Campaigns (466) Infodemiology and Infoveillance (1369) Innovative Methods in Public Health and Surveillance (337) Machine Learning (1505) Big Data (246) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1667) Behavioural Surveillance for Public Health (235) Natural Language Processing (708)

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 (12) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.