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

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Evolution in Computational Intelligence (FICTA 2023)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 370))

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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.

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Notes

  1. 1.

    https://www.youtube.com/@macau853/videos.

  2. 2.

    https://pandas.pydata.org/.

  3. 3.

    https://github.com/gumblex/zhconv.

  4. 4.

    https://github.com/fxsjy/jieba.

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Acknowledgements

The first two authors acknowledge the conference grant of the University of Macau (Ref. No.: FAH/CG/2023/002).

Author information

Authors and Affiliations

  1. Department of English, University of Macau, Macau, China

    Xi Chen & Vincent Xian Wang

  2. MPU-Bell Centre of English, Macao Polytechnic University, Macau, China

    Lily Lim

  3. Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China

    Chu-Ren Huang

  4. The Hong Kong Polytechnic University-Peking University Research Centre On Chinese Linguistics, The Hong Kong Polytechnic University, Hong Kong, China

    Chu-Ren Huang

Authors
  1. Xi Chen
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  2. Vincent Xian Wang
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  3. Lily Lim
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  4. Chu-Ren Huang
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Corresponding author

Correspondence to Vincent Xian Wang .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. Middlesex University, London, UK

    Xin-She Yang

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    Marta Campos Ferreira

  4. Cardiff Metropolitan University, Cardiff, Warwickshire, UK

    Sandeep Singh Sengar

  5. Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Carlos M. Travieso-Gonzalez

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chen, X., Wang, V.X., Lim, L., Huang, CR. (2023). Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens’ Social Media Comments. In: Bhateja, V., Yang, XS., Ferreira, M.C., Sengar, S.S., Travieso-Gonzalez, C.M. (eds) Evolution in Computational Intelligence. FICTA 2023. Smart Innovation, Systems and Technologies, vol 370. Springer, Singapore. https://doi.org/10.1007/978-981-99-6702-5_10

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