International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Big Data Analysis of the Women Who Score Goal Sports Entertainment Program: Focusing on Text Mining and Semantic Network Analysis.

  • Hyun-Myung, Kim (Physical Education, Dankook University) ;
  • Kyung-Won, Byun (Department of graduate school of business Administration, Dankook University)
  • Received : 2023.01.22
  • Accepted : 2023.01.25
  • Published : 2023.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

The purpose of this study is to provide basic data on sports entertainment programs by collecting data on unstructured data generated by Naver and Google for SBS entertainment program 'Women Who Score Goal', which began regular broadcast in June 2021, and analyzing public perceptions through data mining, semantic matrix, and CONCOR analysis. Data collection was conducted using Textom, and 27,911 cases of data accumulated for 16 months from June 16, 2021 to October 15, 2022. For the collected data, 80 key keywords related to 'Kick a Goal' were derived through simple frequency and TF-IDF analysis through data mining. Semantic network analysis was conducted to analyze the relationship between the top 80 keywords analyzed through this process. The centrality was derived through the UCINET 6.0 program using NetDraw of UCINET 6.0, understanding the characteristics of the network, and visualizing the connection relationship between keywords to express it clearly. CONCOR analysis was conducted to derive a cluster of words with similar characteristics based on the semantic network. As a result of the analysis, it was analyzed as a 'program' cluster related to the broadcast content of 'Kick a Goal' and a 'Soccer' cluster, a sports event of 'Kick a Goal'. In addition to the scenes about the game of the cast, it was analyzed as an 'Everyday Life' cluster about training and daily life, and a cluster about 'Broadcast Manipulation' that disappointed viewers with manipulation of the game content.

Keywords

References

  1. J. Y. Seok and J. M. Lee, 'Study on trend analysis of sport entertainment contents applying big data algorithm', The Korean Journal of Sport, Vol.20 No.3, pp. 1 ~ 12, 2022. DOI: https://doi.org/10.46669/ kss.2022.20.3.001
  2. Wikipedia, 'Kick a Goal', Retrieved January 30, 2023, from https://ko.wikipedia.org/wiki/%EA%B3%A8_%EB%95%8C%EB%A6%AC%EB%8A%94_%EA%B7%B8%EB%85%80%EB%93%A4#2023%EB%85%84
  3. SBS Website, 'Kick a Goal', Retrieved January 11, 2023, from https://programs.sbs.co.kr/enter/kickagoal/about/67983
  4. E. J. Kim, "The Narrative and representations of women's sports in the media: An analysis of the SBS entertainment program Women Who Score Goals," PNU Journals of Women's Studies, Vol. 32, No.1, pp. 7-49, 2022. DOI:doi.org/10.22772/pnujws.32.1.202204.7
  5. T. H. Kim and H. S. Kim, "Suggestions on how to activate the stay type Ulsan tourism using Big Data Analysis," Korea Academic Society of Hotel Administration, Vol. 35, No. 1, pp. 47-76. 2019. DOI :10.22793/indinn.2019.35.1.003
  6. J. H. Kim and H. R. Lee, "Comparative study on the changes in perceptions of camping in tourists before and after the COVID-19 outbreak using social media big data: Focused on semantic network analysis" Korean Journal of Hospitality and Tourism, Vol. 30, No. 5, pp. 117-134. 2021. DOI : https://doi.org/10.24992/KJHT.2021.7.30.05.117
  7. Y. T. Kim, M. S, Seen, and S. K. Oh, "The analysis in the lifestyles of MICE participants using big data," Journal of Tourism and Leisure Research, Vol. 28, No. 10, pp. 21-34. 2016.
  8. A. E. Jeon and Y. N. Lee, "A study on the passenger perceptions of "no landing flights" using big data," International Journal of Tourism and Hospitality Research, Vol. 36, No. 3, pp. 107-120. 2022. DOI :10.21298/IJTHR.2022.3.36.3.107
  9. Y. H. Kim and Y. J. Kim, "Social Network Analysis(4th)", Seoul: Parkyoungsa.
  10. S. B. Lee and M. H. Song, "An Analysis of the Age-Downing Issues in the Election of Public Official Election Act: Based on the Semantic Network Analysis of Newspaper Articles," The study of Election, Vol. 1, No. 13, pp. 5-35. 2021. https://doi.org/10.23018/NEC.2020.1.13.001