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dc.contributor.authorSarirete, Akila
dc.date.accessioned2022-11-17T10:04:14Z
dc.date.available2022-11-17T10:04:14Z
dc.date.issued2021
dc.identifier.doi10.1016/j.procs.2021.10.083en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/238
dc.description.abstractRecent statistical and social studies have shown that social media platforms such as Instagram, Facebook, and Twitter contain valuable data that influence human behaviors. This data can be used to track, fight, and control the spread of the COVID-19 and are an excellent asset for analyzing and understanding people’s sentiments. Current levels of willingness to receive a COVID-19 vaccination are still insufficient to achieve immunity standards as stipulated by the World Health Organization (WHO). The present study employs bibliometric analysis to uncover trends and research into sentiment analysis and COVID-19 vaccination. A range of analyses is conducted using the open-source tool VOSviewer and Scopus database from 2020-2021 to acquire a deeper insight and evaluate current research trends on COVID-19 vaccines. The quantitative methodology used generates various bibliometric network visualizations and trends as a function of publication metrics such as citation, geographical attributes, journal publications, and research institutions. Results of network visualization revealed that understanding the the-state-of-the-art in applying sentiment analysis to the COVID-19 pandemic is crucial to local government health agencies and healthcare providers to help in neutralizing the infodemic and improve vaccine acceptance.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleA Bibliometric Analysis of COVID-19 Vaccines and Sentiment Analysisen_US
dc.typeArticleen_US
dc.source.journalProcedia Computer Scienceen_US
refterms.dateFOA2022-11-17T10:04:15Z
dc.source.pages280-287en_US
dc.contributor.researcherComputer Scienceen_US


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