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빅데이터분석을 활용한 도쿄올림픽의 인식Recognition of the Tokyo Olympics through Big data analysis

Other Titles
Recognition of the Tokyo Olympics through Big data analysis
Authors
석류곽정현
Issue Date
Feb-2020
Publisher
한국체육과학회
Keywords
Tokyo Olympics; Radioactivity; anxiety
Citation
한국체육과학회지, v.29, no.1, pp.93 - 101
Journal Title
한국체육과학회지
Volume
29
Number
1
Start Page
93
End Page
101
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/26256
DOI
10.35159/kjss.2020.02.29.1.93
ISSN
1226-0258
Abstract
The purpose of this is the perception of the Tokyo Olympics through big data analysis and provided the following basic data through the results of the study conducted for the purpose of the study. First, the most common words in the frequency of data collection using text mining were found in Japan, the 2020 Tokyo Olympics, Korea, Tokyo and the Olympics. Second, through semantic network analysis, we can see that the first cluster consists of four groups: radioactivity, the second cluster of the Olympics, the third cluster of the Republic of Korea and the fourth cluster of the Games.
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예술대학 > 체육학부(태권도) > 1. Journal Articles

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Kwak, Jeong Hyeon
Graduate School of Education (Theory of Education)
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