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Themes and Sentiments of Online Comments Under COVID-19: A Case Study of Macau
Chen, Xi1; Wang, Vincent Xian1; Huang, Chu Ren2,3
2022-06-16
Conference NameCLSW 2021: Chinese Lexical Semantics
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13249 LNAI
Pages494-503
Conference Date2021/05/15-2021/05/16
Conference PlaceNanjing
Abstract

This study investigates the comments posted in two popular channels on YouTube (February to July 2020) that reveal Macau people’s concerns and feelings under the COVID-19 pandemic in terms of the themes elaborated and sentiments expressed. By themes, Macau people showed their concerns on the epidemic situation, economy, the problems it caused, and how the government reacted to the epidemic. In addition, the theme on Mainland China evolved around whether the Central Government would help Macau carry through this pandemic. Moreover, the sentiment results represent Macau people’s worries and uncertainty towards the pandemic. Our study casts light on understanding the living condition of people being confronted with the epidemic in terms of their linguistic behaviour.

KeywordCorpus-assisted Theme Analysis Covid-19 Macau Sentiment Analysis
DOI10.1007/978-3-031-06703-7_39
URLView the original
Indexed ByCPCI-S ; CPCI-SSH ; EI
Language英語English
WOS Research AreaComputer Science ; Linguistics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Linguistics ; Language & Linguistics
WOS IDWOS:000870755600039
Scopus ID2-s2.0-85133002511
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Document TypeConference paper
CollectionDEPARTMENT OF ENGLISH
Affiliation1.Department of English, University of Macau, Macao
2.Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong
3.The Hong Kong Polytechnic University-Peking University Research Centre on Chinese Linguistics, The Hong Kong Polytechnic University, Hong Kong
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chen, Xi,Wang, Vincent Xian,Huang, Chu Ren. Themes and Sentiments of Online Comments Under COVID-19: A Case Study of Macau[C], 2022, 494-503.
APA Chen, Xi., Wang, Vincent Xian., & Huang, Chu Ren (2022). Themes and Sentiments of Online Comments Under COVID-19: A Case Study of Macau. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13249 LNAI, 494-503.
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