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

Infodemiology and Infoveillance (1349) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Early Results from COVID-19 Studies (299) Outbreak and Pandemic Preparedness and Management (1728) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Big Data (240)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47508, first published .
Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media

Authors of this article:

Feipeng Guo1, 2 Author Orcid Image ;   Zixiang Liu1 Author Orcid Image ;   Qibei Lu3 Author Orcid Image ;   Shaobo Ji4 Author Orcid Image ;   Chen Zhang5 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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  1. Sun R, An L, Li G. Exploring the Opinion Shifting of Social Media Users Based on Stance Detection. Proceedings of the Association for Information Science and Technology 2024;61(1):650 View

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