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

Journals

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  21. Zhang Q, Niu T, Yang J, Geng X, Lin Y. A study on the emotional and attitudinal behaviors of social media users under the sudden reopening policy of the Chinese government. Frontiers in Public Health 2023;11 View
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