Understanding COVID-19 halal vaccination discourse on facebook and twitter using aspect-based sentiment analysis and text emotion analysis

• Main Authors: Feizollah, Ali, Nor Badrul, Anuar, Mehdi, Riyadh, Ahmad Firdaus, Zainal Abidin, Ainin, Sulaiman
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/34914/1/Understanding%20COVID-19%20halal%20vaccination%20discourse%20on%20facebook%20and%20twitter%20using%20aspect-based%20sentiment%20analysis%20and%20text%20emotion%20analysis.pdf; http://umpir.ump.edu.my/id/eprint/34914/; https://doi.org/10.3390/ijerph19106269; https://doi.org/10.3390/ijerph19106269

The COVID-19 pandemic introduced unprecedented challenges for people and governments. Vaccines are an available solution to this pandemic. Recipients of the vaccines are of different ages, gender, and religion. Muslims follow specific Islamic guidelines that prohibit them from taking a vaccine with...