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

Infodemiology and Infoveillance (1349) Early Results from COVID-19 Studies (299) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49300, first published .
Temporal and Emotional Variations in People’s Perceptions of Mass Epidemic Infectious Disease After the COVID-19 Pandemic Using Influenza A as an Example: Topic Modeling and Sentiment Analysis Based on Weibo Data

Temporal and Emotional Variations in People’s Perceptions of Mass Epidemic Infectious Disease After the COVID-19 Pandemic Using Influenza A as an Example: Topic Modeling and Sentiment Analysis Based on Weibo Data

Temporal and Emotional Variations in People’s Perceptions of Mass Epidemic Infectious Disease After the COVID-19 Pandemic Using Influenza A as an Example: Topic Modeling and Sentiment Analysis Based on Weibo Data

Authors of this article:

Jing Dai1 Author Orcid Image ;   Fang Lyu1 Author Orcid Image ;   Lin Yu1 Author Orcid Image ;   Yunyu He2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Jing Dai   1 * , PhD ;   Fang Lyu   1 * , MS ;   Lin Yu   1 ;   Yunyu He   2 , MM

1 Kunming University of Science and Technology, Kunming, China

2 The First People’s Hospital of Yunnan Province, Kunimg, China

*these authors contributed equally

Corresponding Author: