Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts

10.2196/29789

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Bibliographic Details
Main Authors:	Liew, Tau Ming, Lee, Cia Sin
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	JMIR Publications Inc. 2022
Subjects:	COVID-19 Infodemiology Machine learning Natural language processing Social media Vaccine hesitancy
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/233100
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-233100
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spelling	sg-nus-scholar.10635-2331002022-10-13T07:31:02Z Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts Liew, Tau Ming Lee, Cia Sin DUKE-NUS MEDICAL SCHOOL COVID-19 Infodemiology Machine learning Natural language processing Social media Vaccine hesitancy 10.2196/29789 JMIR Public Health and Surveillance 7 11 e29789 2022-10-13T07:31:01Z 2022-10-13T07:31:01Z 2021-11-03 Article Liew, Tau Ming, Lee, Cia Sin (2021-11-03). Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts. JMIR Public Health and Surveillance 7 (11) : e29789. ScholarBank@NUS Repository. https://doi.org/10.2196/29789 2369-2960 https://scholarbank.nus.edu.sg/handle/10635/233100 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ JMIR Publications Inc. Scopus OA2021
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	COVID-19 Infodemiology Machine learning Natural language processing Social media Vaccine hesitancy
spellingShingle	COVID-19 Infodemiology Machine learning Natural language processing Social media Vaccine hesitancy Liew, Tau Ming Lee, Cia Sin Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts
description	10.2196/29789
author2	DUKE-NUS MEDICAL SCHOOL
author_facet	DUKE-NUS MEDICAL SCHOOL Liew, Tau Ming Lee, Cia Sin
format	Article
author	Liew, Tau Ming Lee, Cia Sin
author_sort	Liew, Tau Ming
title	Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts
title_short	Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts
title_full	Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts
title_fullStr	Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts
title_full_unstemmed	Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts
title_sort	examining the utility of social media in covid-19 vaccination: unsupervised learning of 672,133 twitter posts
publisher	JMIR Publications Inc.
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/233100
_version_	1749178984428470272

Examining the utility of social media in covid-19 vaccination: Unsupervised learning of 672,133 twitter posts

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