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The Korean Coronavirus Corpus: A Large-Scale Analysis Using Computational SkillsThe Korean Coronavirus Corpus: A Large-Scale Analysis Using Computational Skills

Other Titles
The Korean Coronavirus Corpus: A Large-Scale Analysis Using Computational Skills
Authors
이규민송상헌
Issue Date
2022
Publisher
한국사회언어학회
Keywords
COVID-19; media; Republic of Korea; corpus; computational linguistics; sentiment analysis; diachronic analysis
Citation
사회언어학, v.30, no.3, pp.213 - 243
Indexed
KCI
Journal Title
사회언어학
Volume
30
Number
3
Start Page
213
End Page
243
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/144133
DOI
10.14353/sjk.2022.30.3.08
ISSN
1226-4822
Abstract
Despite the massive impact of COVID-19 on society, beyond the numbers of confirmed cases and deaths, there remains a lack of large-scale data depicting the effects of the virus on the society of the Republic of Korea. To fill this gap, we collected 1.822 million news articles with more than 1 billion morphemes from January 2020 to June 2022, creating a Korean version of the Coronavirus Corpus. This corpus is introduced in the current study. In addition, to demonstrate how such massive corpus can be utilized, we conducted information theoretical analyses to see how the stance of the press media on topics such as vaccines and social distancing affected the COVID-19 situation in the Republic of Korea. Specifically, we utilized several computational linguistic skills including concordance building and sentiment analysis through both traditional and machine learning techniques and measured the transfer entropy to estimate the impact with information theory. The results suggest that the overall impact of the press media on the society was minimal to non-existent.
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