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http://dx.doi.org/10.6109/jkiice.2021.25.4.495

Analysis of COVID-19 Pandemic based on Massive Big Data Analysis  

Kim, Na-Hyeon (Sungkyunkwan University)
Oh, Hayoung (College of Computing & Informatics, Sungkyunkwan University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.4, 2021 , pp. 495-500 More about this Journal
Abstract
This paper is to identify the recent growing crisis from coronavirus infections-19, using domestic news big data. This paper analyzed media articles related to the crisis caused by COVID-19 using the Korea Press Foundation's news big data analysis system 'BIGKinds'. In this paper, a total of 54 media articles were extracted around the keywords 'Corona' and 'Crisis', after a period of about 10 months. We want to understand the correlation coefficient between the two keywords "Corona" and "Crisis" and to understand what kind of crisis the COVID-19 is facing for each representative category of economy, society, international and cultural. As the COVID-19 crisis is taking a heavy toll on the economy, society and any other categories, this research using big data is expected to be used as a basic data to overcome the crisis of COVID-19.
Keywords
COVID-19; Infectious disease; News big data; News analysis; Correlation coefficient;
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