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All Journal Bulletin of Electrical Engineering and Informatics
Arshad, Noreen Izza
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Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Malaysian views on COVID-19 vaccination program: a sentiment analysis study using Twitter Mohamed Ariff, Mohamed Imran; Shuhada Zubir, Nurul Erina; Azizan, Azilawati; Ahmad, Samsiah; Arshad, Noreen Izza
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.6097

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.
Co-Authors Ahmad, Samsiah Azizan, Azilawati Mohamed Ariff, Mohamed Imran Shuhada Zubir, Nurul Erina