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

Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) COVID-19 Vaccination (146) Vaccination and Immunization in the Digital Age (374) Parent and Caregiver Education and Behavior Change for Vaccination (74) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Mass Media/Social Media Communication and Campaigns (461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30715, first published .
Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Authors of this article:

Chen Luo1, 2 Author Orcid Image ;   Kaiyuan Ji1 Author Orcid Image ;   Yulong Tang3 Author Orcid Image ;   Zhiyuan Du1 Author Orcid Image
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