Themes and Sentiments of Online Comments under COVID-19: A Case Study of Macau

Xi Chen, Vincent Xian Wang, Chu-ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationChinese Lexical Semantics
Subtitle of host publication22nd Workshop, CLSW 2021 Nanjing, China, May 15–16, 2021 Revised Selected Papers, Part I
EditorsMinghui Dong, Yanhui Gu, Jia-Fei Hong
PublisherSpringer Cham
Pages494–503
ISBN (Electronic)978-3-031-06703-7
ISBN (Print)978-3-031-06702-0
DOIs
Publication statusPublished - 16 Jun 2022
EventChinese Lexical Semantics Workshop -
Duration: 15 May 202116 May 2021

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13249
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence
PublisherSpringer
ISSN (Print)2945-9133
ISSN (Electronic)2945-9141

Conference

ConferenceChinese Lexical Semantics Workshop
Period15/05/2116/05/21

Keywords

  • Corpus-assisted theme analysis
  • Sentiment analysis
  • Macau
  • COVID-19

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