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_10

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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 - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing
Subtitle of host publication	Theory and Applications FICTA 2023
Editors	Vikrant Bhateja, Xin-She Yang, Marta Campos Ferreira, Sandeep Singh Sengar, Carlos M. Travieso-Gonzalez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	125-134
Number of pages	10
ISBN (Print)	9789819967018
DOIs	https://doi.org/10.1007/978-981-99-6702-5_10
Publication status	Published - 2023
Externally published	Yes
Event	11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023 - Cardiff, United Kingdom Duration: 11 Apr 2023 → 12 Apr 2023

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	370
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023
Country/Territory	United Kingdom
City	Cardiff
Period	11/04/23 → 12/04/23

Keywords

COVID-19
Keywords
Natural language processing (NLP)
Prospect theory
Social media
Time series analysis
Vaccination

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-99-6702-5_10

Cite this

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 Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-6702-5_10

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 Science and Business Media Deutschland GmbH, 2023. pp. 125-134 (Smart Innovation, Systems and Technologies).

@inproceedings{b3bafbbe604e4cfe912e1b5bf906f478,

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.",

keywords = "COVID-19, Keywords, Natural language processing (NLP), Prospect theory, Social media, Time series analysis, Vaccination",

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

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023 ; Conference date: 11-04-2023 Through 12-04-2023",

year = "2023",

doi = "10.1007/978-981-99-6702-5_10",

language = "English",

isbn = "9789819967018",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "125--134",

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 - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing",

address = "Germany",

}

Chen, X, Wang, VX, Lim, L & Huang, CR 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 Science and Business Media Deutschland GmbH, pp. 125-134, 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023, Cardiff, United Kingdom, 11/04/23. https://doi.org/10.1007/978-981-99-6702-5_10

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 Science and Business Media Deutschland GmbH, 2023. p. 125-134 (Smart Innovation, Systems and Technologies; Vol. 370).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Keywords on COVID-19 Vaccination

T2 - 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023

AU - Chen, Xi

AU - Wang, Vincent Xian

AU - Lim, Lily

AU - Huang, Chu Ren

PY - 2023

Y1 - 2023

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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KW - Keywords

KW - Natural language processing (NLP)

KW - Prospect theory

KW - Social media

KW - Time series analysis

KW - Vaccination

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U2 - 10.1007/978-981-99-6702-5_10

DO - 10.1007/978-981-99-6702-5_10

M3 - Conference contribution

AN - SCOPUS:85177855440

SN - 9789819967018

T3 - Smart Innovation, Systems and Technologies

SP - 125

EP - 134

BT - Evolution in Computational Intelligence - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing

A2 - Bhateja, Vikrant

A2 - Yang, Xin-She

A2 - Ferreira, Marta Campos

A2 - Sengar, Sandeep Singh

A2 - Travieso-Gonzalez, Carlos M.

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 11 April 2023 through 12 April 2023

ER -

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 Science and Business Media Deutschland GmbH. 2023. p. 125-134. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-99-6702-5_10

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

Abstract

Publication series

Conference

Keywords

UN SDGs

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