COVID-19 case prediction using emotion trends via Twitter emoji analysis: A case study in Japan
IntroductionThe worldwide COVID-19 pandemic, which began in December 2019 and has lasted for almost 3 years now, has undergone many changes and has changed public perceptions and attitudes. Various systems for predicting the progression of the pandemic have been developed to help assess the risk of...
Main Authors: | Vu Tran, Tomoko Matsui |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-03-01
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Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1079315/full |
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