빅데이터분석을 활용한 도쿄올림픽의 인식Recognition of the Tokyo Olympics through Big data analysis
- Other Titles
- Recognition of the Tokyo Olympics through Big data analysis
- Authors
- 석류; 곽정현
- 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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Collections - 예술대학 > 체육학부(태권도) > 1. Journal Articles
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