Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India
Global Knowledge, Memory and Communication
ISSN: 2514-9342
Article publication date: 8 June 2021
Issue publication date: 3 March 2022
Abstract
Purpose
This paper aims to understand, examine and interpret the main concerns and emotions of the people regarding COVID-19 pandemic in the UK, the USA and India using Data Science measures.
Design/methodology/approach
This study implements unsupervised and supervised machine learning methods, i.e. topic modeling and sentiment analysis on Twitter data for extracting the topics of discussion and calculating public sentiment.
Findings
Governments and policymakers remained the focus of public discussion on Twitter during the first three months of the pandemic. Overall, public sentiment toward the pandemic remained neutral except for the USA.
Originality/value
This paper proposes a Data Science-based approach to better understand the public topics of concern during the COVID-19 pandemic.
Keywords
Citation
Ilyas, H., Anwar, A., Yaqub, U., Alzamil, Z. and Appelbaum, D. (2022), "Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India", Global Knowledge, Memory and Communication, Vol. 71 No. 3, pp. 140-154. https://doi.org/10.1108/GKMC-01-2021-0006
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited