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Subject

Social Big Data Analysis of Demands for Sport Industry Policies
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소셜 빅데이터를 활용한 스포츠산업 지원 사업 수요분석

논문 기본 정보

Type
Academic journal
Author
Kim, Min Soo (한국스포츠개발원) Oh, Seung Wook (경희대학교) Lim, Jeong Won (경희대학교) Han, Jin-Wook (경희대학교)
Journal
Korean Society For Sport Management Korean Journal of Sport Management Vol.22 No.2 KCI Accredited Journals
Published
2017.4
Pages
45 - 66 (22page)
DOI
10.31308/KSSM.22.2.4

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Social Big Data Analysis of Demands for Sport Industry Policies
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Abstract· Keywords

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The purpose of this study was to understand demands for sport industry policies using social big data analysis. The big data solution, ‘TextoM’ developed by ‘The IMC corporation’ was used to achieve this purpose in this study. From July 1, 2015 to June 30, 2016, social big data related to 10 sport industry policies such as research & development, fund of funds in the sport industry, financial support, and test and accreditation of sport goods and equipment were collected from news, blogs, cafes, Jisikin, and webpage of portal site Naver. In order to collect the voice of customer for 10 sport industry policies without duplication or omission as much as possible, policy names and main keywords of policies were used. As a result, a total of 991,387 data were collected. For data analysis, text mining, sentiment analysis, and semantic network analysis were used in this study to examine the high frequency of accompanying keywords in sport industry policies, the relevance of the main keywords that appeared together, and positive and negative images of the policies. Based on results of these analyses, the perceptions and demands of sport industry policy consumers were identified and insights and policy suggestions were presented.

Contents

Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 연구결과 및 논의
Ⅳ. 결론 및 제언
참고문헌
ABSTRACT

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UCI(KEPA) : I410-ECN-0101-2018-692-001066287