COVID-19 sentiment analysis on Facebook comments

Malaysia recorded its first COVID-19 case on 9th March 2020 and recorded a total of 59,817 by end of November 2020. Buzz in social media over COVID-19 and measures by the Government to curb infection spread among citizens. The study aims to understand Malaysian public awareness and perception of COV...

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Main Authors: Ibrahim, Sajidah, Ab. Rahim, Nor Zairah, Ibnu Fatihan, Fajar, Abu Bakar, Nur Azaliah
Format: Article
Language:English
Published: Global Academic Excellence (M) Sdn Bhd 2021
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Online Access:http://eprints.utm.my/id/eprint/97923/1/SajidahIbrahim2021_Covid19SentimentAnalysisonFacebookComments.pdf
http://eprints.utm.my/id/eprint/97923/
http://dx.doi.org/10.35631/IJMTSS.417001
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.979232022-11-07T10:42:55Z http://eprints.utm.my/id/eprint/97923/ COVID-19 sentiment analysis on Facebook comments Ibrahim, Sajidah Ab. Rahim, Nor Zairah Ibnu Fatihan, Fajar Abu Bakar, Nur Azaliah H Social Sciences (General) T58.5-58.64 Information technology Malaysia recorded its first COVID-19 case on 9th March 2020 and recorded a total of 59,817 by end of November 2020. Buzz in social media over COVID-19 and measures by the Government to curb infection spread among citizens. The study aims to understand Malaysian public awareness and perception of COVID-19 related issues on Facebook during the 1st and 2nd week of Movement Control Order (MCO). Data mining was conducted on DG Tan Sri Noor Hisham Abdullah’s official Facebook account user comments and a total of 77,351 comments was collected between 18 March and 14 April 2020. The analyses included data pre-processing and sentiment analysis to identify and explore sentiments in discussion topics within the first two weeks of lockdown. The results yield majority of comments are in the Malay language and mix languages of English and Malay as a secondary type. Secondly, sentiment analysis showed that people have a positive reaction towards the frontliners and all efforts by the Ministry of Health towards fighting the pandemic. Many positive remarks are given in form of prayers, which is in line with the Islamic teaching of positive thinking and optimism, especially during crises. In conclusion, sentiment analysis is effective in producing useful insights about trends of COVID-19 discussion on social media, collecting public perception and feedback of COVID-19 efforts by the Government, and gives a different viewing angle of the current situation on the ground. These findings can be useful for health officials or the Government in developing communication mitigation plans or conduct extensive studies on pertaining issues within areas of concern. Global Academic Excellence (M) Sdn Bhd 2021-09 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97923/1/SajidahIbrahim2021_Covid19SentimentAnalysisonFacebookComments.pdf Ibrahim, Sajidah and Ab. Rahim, Nor Zairah and Ibnu Fatihan, Fajar and Abu Bakar, Nur Azaliah (2021) COVID-19 sentiment analysis on Facebook comments. International Journal of Modern Trends in Social Sciences (IJMTSS), 4 (17). pp. 1-8. ISSN 2600-8777 http://dx.doi.org/10.35631/IJMTSS.417001 DOI:10.35631/IJMTSS.417001
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic H Social Sciences (General)
T58.5-58.64 Information technology
spellingShingle H Social Sciences (General)
T58.5-58.64 Information technology
Ibrahim, Sajidah
Ab. Rahim, Nor Zairah
Ibnu Fatihan, Fajar
Abu Bakar, Nur Azaliah
COVID-19 sentiment analysis on Facebook comments
description Malaysia recorded its first COVID-19 case on 9th March 2020 and recorded a total of 59,817 by end of November 2020. Buzz in social media over COVID-19 and measures by the Government to curb infection spread among citizens. The study aims to understand Malaysian public awareness and perception of COVID-19 related issues on Facebook during the 1st and 2nd week of Movement Control Order (MCO). Data mining was conducted on DG Tan Sri Noor Hisham Abdullah’s official Facebook account user comments and a total of 77,351 comments was collected between 18 March and 14 April 2020. The analyses included data pre-processing and sentiment analysis to identify and explore sentiments in discussion topics within the first two weeks of lockdown. The results yield majority of comments are in the Malay language and mix languages of English and Malay as a secondary type. Secondly, sentiment analysis showed that people have a positive reaction towards the frontliners and all efforts by the Ministry of Health towards fighting the pandemic. Many positive remarks are given in form of prayers, which is in line with the Islamic teaching of positive thinking and optimism, especially during crises. In conclusion, sentiment analysis is effective in producing useful insights about trends of COVID-19 discussion on social media, collecting public perception and feedback of COVID-19 efforts by the Government, and gives a different viewing angle of the current situation on the ground. These findings can be useful for health officials or the Government in developing communication mitigation plans or conduct extensive studies on pertaining issues within areas of concern.
format Article
author Ibrahim, Sajidah
Ab. Rahim, Nor Zairah
Ibnu Fatihan, Fajar
Abu Bakar, Nur Azaliah
author_facet Ibrahim, Sajidah
Ab. Rahim, Nor Zairah
Ibnu Fatihan, Fajar
Abu Bakar, Nur Azaliah
author_sort Ibrahim, Sajidah
title COVID-19 sentiment analysis on Facebook comments
title_short COVID-19 sentiment analysis on Facebook comments
title_full COVID-19 sentiment analysis on Facebook comments
title_fullStr COVID-19 sentiment analysis on Facebook comments
title_full_unstemmed COVID-19 sentiment analysis on Facebook comments
title_sort covid-19 sentiment analysis on facebook comments
publisher Global Academic Excellence (M) Sdn Bhd
publishDate 2021
url http://eprints.utm.my/id/eprint/97923/1/SajidahIbrahim2021_Covid19SentimentAnalysisonFacebookComments.pdf
http://eprints.utm.my/id/eprint/97923/
http://dx.doi.org/10.35631/IJMTSS.417001
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