Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Analysis of COVID-19 Pandemic based on Massive Big Data Analysis

대규모 빅데이터 분석 기반 COVID-19 Pandemic 분석결과

  • Received : 2020.12.30
  • Accepted : 2021.03.12
  • Published : 2021.04.30
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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.

본 연구의 목적은 본 논문의 목적은 최근 확산되고 있는 코로나바이러스감염증-19로 인한 위기를 국내 뉴스 빅데이터를 활용하여 규명하는 것이다. 본 논문은 COVID-19로 인한 위기와 관련된 언론기사들을 한국언론진흥재단의 뉴스 빅데이터 분석 시스템 '빅카인즈(BIGKinds)'를 활용하여 분석하였다. 본 논문에서는 약 10개월의 기간을 설정한 후, '코로나'와 '위기' 키워드를 중심으로 총 54개의 언론사의 관련기사들을 추출하였다. '코로나'와 '위기' 두 키워드 간의 상관계수를 파악하고, 연관어 분석을 통해 경제, 사회, 국제, 문화 각 대표 카테고리 별로 COVID-19로 인해 어떤 위기를 맞고 있는지 파악하고자 한다. COVID-19 사태는 경제, 사회 등 모든 부분에 큰 타격을 주고 있는 만큼 빅데이터를 활용한 본 논문은 COVID-19 사태 위기 극복을 위한 기초자료로 활용될 수 있을 것으로 기대된다.

Keywords

References

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  1. Comparative Analysis of News Big Data related to SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19) vol.26, pp.8, 2021, https://doi.org/10.9708/jksci.2021.26.08.091