Skip to main content

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

  • Conference paper
  • First Online:
Chinese Lexical Semantics (CLSW 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13249))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Tsao, S.F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., Butt, Z.A.: What social media told us in the time of COVID-19: a scoping review. Lancet Digit. Health 3(3), e175–e194 (2021). https://doi.org/10.1016/S2589-7500(20)30315-0

    Article  Google Scholar 

  2. Damiano, A.D., Catellier, J.R.A.: A content analysis of coronavirus tweets in the United States just prior to the pandemic declaration. Cyberpsychol. Behav. Soc. Netw. 23(12), 889–893 (2020). https://doi.org/10.1089/cyber.2020.0425

    Article  Google Scholar 

  3. Essam, B.A., Abdo, M.S.: How do Arab Tweeters perceive the COVID-19 pandemic? J. Psycholinguist. Res. 50(3), 507–521 (2020). https://doi.org/10.1007/s10936-020-09715-6

    Article  Google Scholar 

  4. Wicke, P., Bolognesi, M.M.: Framing COVID-19: how we conceptualize and discuss the pandemic on Twitter. PLoS ONE 15(9), e0240010 (2020). https://doi.org/10.1371/journal.pone.0240010

    Article  Google Scholar 

  5. Wolfer, S., Koplenig, A., Michaelis, F., Müller-Spitzer, C.: Tracking and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus analysis and cOWIDplus viewer. Int. J. Corpus Linguis. 25(3), 347–359 (2020). https://doi.org/10.1075/ijcl.20078.wol

    Article  Google Scholar 

  6. Li, L., Huang, C.-R., Wang, V.X.: Lexical competition and change: a corpus-assisted investigation of gambling and gaming in the past centuries. SAGE Open 10(3), 1–14 (2020). https://doi.org/10.1177/2158244020951272

    Article  Google Scholar 

  7. Li, L., Dong, S., Wang, V.X.: Gaige and reform: a Chinese-English comparative keywords study. In: Su, Q., Zhan, W. (eds.) From Minimal Contrast to Meaning Construct. FCL, vol. 9, pp. 321–332. Springer, Singapore (2020). https://doi.org/10.1007/978-981-32-9240-6_22

    Chapter  Google Scholar 

  8. Chen, X., Wang, V.X., Huang, C.-R.: Sketching the English translations of Kumārajīva’s The Diamond Sutra: a comparison of individual translators and translation teams. In: 34th Pacific Asia Conference on Language, Information and Computation, pp. 30–41. Association for Computational Linguistics (2020)

    Google Scholar 

  9. Wang, V.X., Chen, X., Quan, S., Huang, C.-R.: A parallel corpus-driven approach to bilingual oenology term banks: how culture differences influence wine tasting terms. In: 34th Pacific Asia Conference on Language, Information and Computation, pp. 318–328. Association for Computational Linguistics (2020)

    Google Scholar 

  10. Lim, L.: A Corpus-based examination of the translation of the suffix -ism into Chinese. In: Wang, V.X., Lim, L., Li, D. (eds.) New Perspectives on Corpus Translation Studies, pp. 29–55. Springer, Singapore (2021)

    Chapter  Google Scholar 

  11. Lim, L.: Are TERRORISM and Kongbu Zhuyi translation equivalents? A corpus-based investigation of meaning, structure and alternative translations. In: 33rd Pacific Asia Conference on Language, Information and Computation, pp.480–487. Waseda Institute for the Study of Language and Information, Tokyo (2019)

    Google Scholar 

  12. Lei, S., Yang, R., Huang, C.-R.: Emergent neologism: a study of an emerging meaning with competing forms based on the first six months of COVID-19. Lingua 258, 103095 (2021). https://doi.org/10.1016/j.lingua.2021.103095

    Article  Google Scholar 

  13. Wang, X., Huang, C.-R.: From contact prevention to social distancing: the co-evolution of bilingual neologisms and public health campaigns in two cities in the time of COVID-19. SAGE Open 11(3), 1–17 (2021). https://doi.org/10.1177/21582440211031556

    Article  Google Scholar 

  14. Tian, H., et al.: SKEP: sentiment knowledge enhanced pre-training for sentiment analysis. In: 58th Annual Meeting of the Association for Computational Linguistics, pp. 4067–4076. Association for Computational Linguistics (2020). https://doi.org/10.18653/v1/2020.acl-main.374

Download references

Acknowledgements

The authors are thankful to the anonymous reviewers of this paper. The authors would like to acknowledge the Higher Education Fund of the Macau SAR Government for financially supporting the FES project “HOPE and PAIN in the Time of a Pandemic: A corpus-based study of metaphor and synaesthesia in Macau” – reference no. HSS-UMAC-2020-10”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xi Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, X., Wang, V.X., Huang, CR. (2022). Themes and Sentiments of Online Comments Under COVID-19: A Case Study of Macau. In: Dong, M., Gu, Y., Hong, JF. (eds) Chinese Lexical Semantics. CLSW 2021. Lecture Notes in Computer Science(), vol 13249. Springer, Cham. https://doi.org/10.1007/978-3-031-06703-7_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06703-7_39

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06702-0

  • Online ISBN: 978-3-031-06703-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics