Ariff, M.I.M. and Zubir, N.E.S. and Azizan, A. and Ahmad, S. and Arshad, N.I. (2024) Malaysian views on COVID-19 vaccination program: a sentiment analysis study using Twitter. Bulletin of Electrical Engineering and Informatics, 13 (1). pp. 436-443.
Full text not available from this repository.Abstract
This study aimed to analyze the opinions and emotions of Malaysians towards the COVID-19 vaccination program, as expressed on Twitter. By collecting data from the Twitter network and utilizing the machine learning life cycle technique. The results show that Malaysians have a mostly neutral viewpoint of the COVID-19 vaccination, with an accuracy score of 93, an F1-score of 94, a recall measurement of 94, and a precision measure of 93. These findings emphasize the significance of understanding public sentiment and perception towards crucial issues such as the COVID-19 vaccine and can be utilized to support healthcare professionals, policymakers, and the public in making informed decisions regarding the COVID-19 vaccination program. © 2024, Institute of Advanced Engineering and Science. All rights reserved.
Item Type: | Article |
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Additional Information: | cited By 0 |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 04 Jun 2024 14:19 |
Last Modified: | 04 Jun 2024 14:19 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/19918 |