빅데이터분석을 활용한 도쿄올림픽의 인식
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 석류 | - |
dc.contributor.author | 곽정현 | - |
dc.date.available | 2020-04-06T06:42:06Z | - |
dc.date.created | 2020-04-02 | - |
dc.date.issued | 2020-02 | - |
dc.identifier.issn | 1226-0258 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/26256 | - |
dc.description.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. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국체육과학회 | - |
dc.relation.isPartOf | 한국체육과학회지 | - |
dc.title | 빅데이터분석을 활용한 도쿄올림픽의 인식 | - |
dc.title.alternative | Recognition of the Tokyo Olympics through Big data analysis | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.identifier.doi | 10.35159/kjss.2020.02.29.1.93 | - |
dc.identifier.bibliographicCitation | 한국체육과학회지, v.29, no.1, pp.93 - 101 | - |
dc.identifier.kciid | ART002566705 | - |
dc.citation.endPage | 101 | - |
dc.citation.startPage | 93 | - |
dc.citation.title | 한국체육과학회지 | - |
dc.citation.volume | 29 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | 곽정현 | - |
dc.subject.keywordAuthor | Tokyo Olympics | - |
dc.subject.keywordAuthor | Radioactivity | - |
dc.subject.keywordAuthor | anxiety | - |
dc.description.journalRegisteredClass | kci | - |
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