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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Natural Language Processing (692) Outbreak and Pandemic Preparedness and Management (1727) Mass Media/Social Media Communication and Campaigns (461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infectious Diseases (non-STD/STI) (1575) Knowledge Translation and Implementation Science (398)

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