Predicting the sentiment of South Korean Twitter users toward vaccination after the emergence of COVID-19 Omicron variant using deep learning-based natural language processing

Predicting the sentiment of South Korean Twitter users toward vaccination after the emergence of COVID-19 Omicron variant using deep learning-based natural language processing

Although the full vaccination rate of South Korea compared to other countries, concerns about the effectiveness of the vaccine are growing as new COVID variants such as Alpha, Beta, Gamma, Delta, and Omicron appear over time. In this study, we collected Twitter data in South Korea that contained key...

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Bibliographic Details
Main Authors: Gayeong Eom, Sanghyun Yun, Haewon Byeon
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Medicine
Subjects:
COVID-19 Omicron variant
deep learning
NLP
sentiment analysis
BERT
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.948917/full

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