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Social big data analysis on demands for the Korean sport industry
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논문 기본 정보

Type
Academic journal
Author
김민수 (한국스포츠정책과학원) Han Jin-Wook (경희대학교) oh seung wook (경희대학교)
Journal
한국스포츠정책과학원 IJASS(International Journal of Applied Sports Sciences) IJASS(International Journal of Applied Sports Sciences) 제32권 제2호 KCI Accredited Journals
Published
2020.1
Pages
28 - 39 (12page)

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Social big data analysis on demands for the Korean sport industry
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Abstract· Keywords

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The purpose of the study was to explore public opinions and perceptions with regard to the Korean sport industry based on a big data analysis of social media content. Social big data was collected using ‘TextoM’, a big data analysis solution and ‘Naver’, an Internet portal service provider. In order to collect data, a total of 29 keywords were used such as sport industry, sport facilities, sport services, sport marketing, professional baseball, and sport manufacturing. Social analytics was used to analyze big data from social media content about the Korean sport industry. A total of 6,002,666 cases including document, web, blogs, and cafes (i.e., online community) with regards to the Korean sport industry were analyzed. Frequency analysis, keyword analysis through text-mining, sentiment analysis, semantic network analysis, and CONCOR network analysis were conducted. First, frequency analysis shows the volume of the Korean sport industry related searches stayed highly and increased. Second, keyword analysis through text mining was conducted to examine frequently used keywords in the sport industry. The analysis indicates four different categories of the Korean sport industry keywords such as sport games, sport goods, health, and sport policy. Third, sentiment analysis showed positive sentiment was found to have a greater weight than negative sentiment toward the sport industry. Fourth, semantic network analysis showed that the Korean sport industry connected with tourism, media, information, game, international, health, and culture. Last, the results of CONCOR analysis showed that the sport industry clearly divided into four different segments such as sport goods and equipment segment, sport facility segment, sport service segment, and professional sport segment. Results and findings are discussed and future research are suggested.
#social big data #sport industry #demand #goods #facility #service

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References (23)

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Clavio, G. / 2012 / Networked fandom : Applying systems theory to sport twitter analysis / International Journal of Sport Communication 5:522~538 google schola DiFonzo, N. / 2012 / Rumors about cancer : Content, Sources, Coping, Transmission and Belief / Journal of Health Communication 17(9):1099~1115 google schola 한진욱 / 2018 / 소셜 빅데이터 분석을 이용한 2018 아시안게임 야구 국가대표팀에 대한 인식 분석 / 한국스포츠산업경영학회지 23(6):37~48 dbpia 장미화 / 2016 / 소셜 미디어 빅데이터 분석을 통한 캠핑에 대한 정부 정책과 국민들의 인식 변화 연구 / 관광연구 31(1):91~112 dbpia 김효림 / 2018 / 텍스트 마이닝 기법을 활용한 여가활동 키워드 분석 / 한국여가레크리에이션학회지 42(3):59~69 dbpia

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