Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore

10.1016/j.jjimei.2021.100021

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Bibliographic Details
Main Authors:	Mohamed Ridhwan, Khairiyah, Hargreaves, Carol Anne
Other Authors:	STATISTICS & APPLIED PROBABILITY
Format:	Article
Published:	Elsevier BV 2021
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/192761
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-192761
record_format	dspace
spelling	sg-nus-scholar.10635-1927612024-04-03T05:49:03Z Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore Mohamed Ridhwan, Khairiyah Hargreaves, Carol Anne STATISTICS & APPLIED PROBABILITY 10.1016/j.jjimei.2021.100021 International Journal of Information Management Data Insights 1 2 100021-100021 2021-07-01T05:41:23Z 2021-07-01T05:41:23Z 2021-11 2021-06-30T12:44:42Z Article Mohamed Ridhwan, Khairiyah, Hargreaves, Carol Anne (2021-11). Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore. International Journal of Information Management Data Insights 1 (2) : 100021-100021. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jjimei.2021.100021 26670968 https://scholarbank.nus.edu.sg/handle/10635/192761 Elsevier BV Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1016/j.jjimei.2021.100021
author2	STATISTICS & APPLIED PROBABILITY
author_facet	STATISTICS & APPLIED PROBABILITY Mohamed Ridhwan, Khairiyah Hargreaves, Carol Anne
format	Article
author	Mohamed Ridhwan, Khairiyah Hargreaves, Carol Anne
spellingShingle	Mohamed Ridhwan, Khairiyah Hargreaves, Carol Anne Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
author_sort	Mohamed Ridhwan, Khairiyah
title	Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
title_short	Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
title_full	Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
title_fullStr	Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
title_full_unstemmed	Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
title_sort	leveraging twitter data to understand public sentiment for the covid‐19 outbreak in singapore
publisher	Elsevier BV
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/192761
_version_	1795374650754072576

Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore

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