Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies.

Ahmad, Waseem; Wang, Bang; Xu, Han; Xu, Minghua; Zeng, Zeng

Ahmad, Waseem; Wang, Bang; Xu, Han; Xu, Minghua; Zeng, Zeng.

Afiliação

Ahmad W; School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China.
Wang B; School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China.
Xu H; School of Journalism and Information Communication, Huazhong University of Science and Technology (HUST), Wuhan, China.
Xu M; School of Journalism and Information Communication, Huazhong University of Science and Technology (HUST), Wuhan, China.
Zeng Z; Institute for Infocomm Research, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.

SN Comput Sci ; 2(5): 394, 2021.

Article em En | MEDLINE | ID: mdl-34341778

Palavras-chave

COVID-19; Emotion classification; Sentiment analysis; Topic modeling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: SN Comput Sci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Singapura

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