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

COVID-19 Vaccination (128) Infodemiology and Infoveillance (1274) Infoveillance and Social Listening (181) JMIR Theme Issue: COVID-19 Special Issue (2391) Natural Language Processing (644) Mass Media/Social Media Communication and Campaigns (448) Machine Learning (1385) Infectious Diseases (non-STD/STI) (1485) Outbreak and Pandemic Preparedness and Management (1675) Vaccination and Immunization in the Digital Age (346) Hygiene and Infection Prevention (298) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Parent and Caregiver Education and Behavior Change for Vaccination (71) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013)

Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29789, first published .
Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts

Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts

Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts

Authors of this article:

Tau Ming Liew1, 2 Author Orcid Image ;   Cia Sin Lee3, 4 Author Orcid Image
Article Authors Cited by (29) Tweetations (9) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.