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

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題Evolution in Computational Intelligence - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing
主出版物子標題Theory and Applications FICTA 2023
編輯Vikrant Bhateja, Xin-She Yang, Marta Campos Ferreira, Sandeep Singh Sengar, Carlos M. Travieso-Gonzalez
發行者Springer Science and Business Media Deutschland GmbH
頁面125-134
頁數10
ISBN(列印)9789819967018
DOIs
出版狀態Published - 2023
對外發佈
事件11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023 - Cardiff, United Kingdom
持續時間: 11 4月 202312 4月 2023

出版系列

名字Smart Innovation, Systems and Technologies
370
ISSN(列印)2190-3018
ISSN(電子)2190-3026

Conference

Conference11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023
國家/地區United Kingdom
城市Cardiff
期間11/04/2312/04/23

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