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

Early Results from COVID-19 Studies (371) JMIR Theme Issue: COVID-19 Special Issue (2563) Infoveillance and Social Listening (321) Infodemiology and Infoveillance (1596) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1158) Infectious Diseases (non-STD/STI) (1754) Outbreak and Pandemic Preparedness and Management (1846)

Published on in Vol 9 (2025)

This is a member publication of City University of Hong Kong

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66237, first published .
Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis

Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis

Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis

Authors of this article:

Kaiyue Zhang1, 2 Author Orcid Image ;   Zhaojin Guo3 Author Orcid Image ;   Yujie Ai1, 3, 4, 5 Author Orcid Image ;   An-Ran Li1 Author Orcid Image ;   Anlin Li3, 6 Author Orcid Image ;   Ziyu Liu3 Author Orcid Image ;   Yittie Yi Ting Tse1, 5, 7 Author Orcid Image ;   Xinyu Zhou1 Author Orcid Image ;   Taoran Liu3 Author Orcid Image ;   Chuxi Xiong8 Author Orcid Image ;   Jian Huang9, 10, 11 Author Orcid Image ;   Wai-kit Ming3, 12 Author Orcid Image
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Journals

  1. Youm S, Jang S, Kwak H, Choi J, Yi Y. Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing. JMIR Formative Research 2026;10:e84791 View