Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments

Xi Chen; Vincent Xian Wang; Lily Lim; Chu-Ren Huang

doi:10.1007/978-981-99-6702-5

Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments

Xi Chen, Vincent Xian Wang, Lily Lim, Chu-Ren Huang

Department of Chinese and Bilingual Studies

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This study investigates the general public’s concerns about COVID-19 vaccination by their comments in social media (YouTube) with NLP techniques and time series analysis. A set of keywords are traced in order to better understand the changes in public opinion and responses at different stages of the pandemic, as well as the influences of fake news. These keywords were extracted from Macau netizens’ online comments based on word frequency, TF-IDF, and TextRank. It is observed that the misinformation dissipated abruptly after initiation of mass vaccination in Macau. We account for this change by the Prospect Theory. This study has shown that NLP techniques can assist in discourse analysis of people’s perceptions of COVID-19 vaccination, and people’s linguistic behaviours have been captured by the extracted keywords through text mining and time series analysis.

Original language	English
Title of host publication	Evolution in Computational Intelligence
Subtitle of host publication	Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)
Editors	Vikrant Bhateja, Xin-She Yang, Marta Campos Ferreira, Sandeep Singh Sengar, Carlos M. Travieso-Gonzalez
Publisher	Springer
Chapter	10
Pages	125-134
ISBN (Electronic)	978-981-99-6702-5
ISBN (Print)	978-981-99-6701-8
DOIs	https://doi.org/10.1007/978-981-99-6702-5
Publication status	Published - 21 Nov 2023
Event	11th International Conference on Frontiers of Intelligent Computing: Theory and Applications - Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, United Kingdom Duration: 11 Apr 2023 → 12 Apr 2023 https://ficta.co.uk/

Publication series

Name	Smart Innovation, Systems and Technologies
Publisher	Springer
Volume	370

Conference

Conference	11th International Conference on Frontiers of Intelligent Computing: Theory and Applications
Abbreviated title	FICTA 2023
Country/Territory	United Kingdom
City	Cardiff
Period	11/04/23 → 12/04/23
Internet address	https://ficta.co.uk/

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10.1007/978-981-99-6702-5

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Chen, X., Wang, V. X., Lim, L., & Huang, C.-R. (2023). Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments. In V. Bhateja, X.-S. Yang, M. C. Ferreira, S. S. Sengar, & C. M. Travieso-Gonzalez (Eds.), Evolution in Computational Intelligence: Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023) (pp. 125-134). (Smart Innovation, Systems and Technologies; Vol. 370). Springer. https://doi.org/10.1007/978-981-99-6702-5

Chen, Xi ; Wang, Vincent Xian ; Lim, Lily et al. / Keywords on COVID-19 Vaccination : An Application of NLP into Macau Netizens’ Social Media Comments. Evolution in Computational Intelligence: Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023). editor / Vikrant Bhateja ; Xin-She Yang ; Marta Campos Ferreira ; Sandeep Singh Sengar ; Carlos M. Travieso-Gonzalez. Springer, 2023. pp. 125-134 (Smart Innovation, Systems and Technologies).

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title = "Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens{\textquoteright} Social Media Comments",

abstract = "This study investigates the general public{\textquoteright}s concerns about COVID-19 vaccination by their comments in social media (YouTube) with NLP techniques and time series analysis. A set of keywords are traced in order to better understand the changes in public opinion and responses at different stages of the pandemic, as well as the influences of fake news. These keywords were extracted from Macau netizens{\textquoteright} online comments based on word frequency, TF-IDF, and TextRank. It is observed that the misinformation dissipated abruptly after initiation of mass vaccination in Macau. We account for this change by the Prospect Theory. This study has shown that NLP techniques can assist in discourse analysis of people{\textquoteright}s perceptions of COVID-19 vaccination, and people{\textquoteright}s linguistic behaviours have been captured by the extracted keywords through text mining and time series analysis.",

author = "Xi Chen and Wang, {Vincent Xian} and Lily Lim and Chu-Ren Huang",

year = "2023",

month = nov,

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doi = "10.1007/978-981-99-6702-5",

language = "English",

isbn = "978-981-99-6701-8",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer",

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editor = "Vikrant Bhateja and Xin-She Yang and Ferreira, {Marta Campos} and Sengar, {Sandeep Singh} and Travieso-Gonzalez, {Carlos M.}",

booktitle = "Evolution in Computational Intelligence",

note = "11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023 ; Conference date: 11-04-2023 Through 12-04-2023",

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Chen, X, Wang, VX, Lim, L & Huang, C-R 2023, Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments. in V Bhateja, X-S Yang, MC Ferreira, SS Sengar & CM Travieso-Gonzalez (eds), Evolution in Computational Intelligence: Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023). Smart Innovation, Systems and Technologies, vol. 370, Springer, pp. 125-134, 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, Cardiff, United Kingdom, 11/04/23. https://doi.org/10.1007/978-981-99-6702-5

Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments. / Chen, Xi; Wang, Vincent Xian; Lim, Lily et al.
Evolution in Computational Intelligence: Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023). ed. / Vikrant Bhateja; Xin-She Yang; Marta Campos Ferreira; Sandeep Singh Sengar; Carlos M. Travieso-Gonzalez. Springer, 2023. p. 125-134 (Smart Innovation, Systems and Technologies; Vol. 370).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Keywords on COVID-19 Vaccination

T2 - 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications

AU - Chen, Xi

AU - Wang, Vincent Xian

AU - Lim, Lily

AU - Huang, Chu-Ren

PY - 2023/11/21

Y1 - 2023/11/21

N2 - This study investigates the general public’s concerns about COVID-19 vaccination by their comments in social media (YouTube) with NLP techniques and time series analysis. A set of keywords are traced in order to better understand the changes in public opinion and responses at different stages of the pandemic, as well as the influences of fake news. These keywords were extracted from Macau netizens’ online comments based on word frequency, TF-IDF, and TextRank. It is observed that the misinformation dissipated abruptly after initiation of mass vaccination in Macau. We account for this change by the Prospect Theory. This study has shown that NLP techniques can assist in discourse analysis of people’s perceptions of COVID-19 vaccination, and people’s linguistic behaviours have been captured by the extracted keywords through text mining and time series analysis.

AB - This study investigates the general public’s concerns about COVID-19 vaccination by their comments in social media (YouTube) with NLP techniques and time series analysis. A set of keywords are traced in order to better understand the changes in public opinion and responses at different stages of the pandemic, as well as the influences of fake news. These keywords were extracted from Macau netizens’ online comments based on word frequency, TF-IDF, and TextRank. It is observed that the misinformation dissipated abruptly after initiation of mass vaccination in Macau. We account for this change by the Prospect Theory. This study has shown that NLP techniques can assist in discourse analysis of people’s perceptions of COVID-19 vaccination, and people’s linguistic behaviours have been captured by the extracted keywords through text mining and time series analysis.

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DO - 10.1007/978-981-99-6702-5

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A2 - Travieso-Gonzalez, Carlos M.

PB - Springer

Y2 - 11 April 2023 through 12 April 2023

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Chen X, Wang VX, Lim L, Huang CR. Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments. In Bhateja V, Yang XS, Ferreira MC, Sengar SS, Travieso-Gonzalez CM, editors, Evolution in Computational Intelligence: Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023). Springer. 2023. p. 125-134. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-99-6702-5

Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments

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