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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) Natural Language Processing (706) Outbreak and Pandemic Preparedness and Management (1743) Mass Media/Social Media Communication and Campaigns (466) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infectious Diseases (non-STD/STI) (1592) Knowledge Translation and Implementation Science (407)

Published on in Vol 7, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26720, first published .
Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

Authors of this article:

Lu Tang1 Author Orcid Image ;   Wenlin Liu2 Author Orcid Image ;   Benjamin Thomas3 Author Orcid Image ;   Hong Thoai Nga Tran4 Author Orcid Image ;   Wenxue Zou1 Author Orcid Image ;   Xueying Zhang5 Author Orcid Image ;   Degui Zhi4 Author Orcid Image
Article Authors Cited by (22) Tweetations (8) Metrics

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