A Study on the Status and Recognition of SPORTS Welfare Using Big Data Analysis

Abstract

Purpose: To identify public Recognition and areas of interest in sports welfare through big data related analytical techniques, and to provide basic data required for establishing sports welfare policies.

Method: Keyword frequency analysis, sentiment analysis, semantic network analysis,, and CONCOR analysis were performed.

Results: The public was demonstrated the highest frequency and derived as a key keyword. As keywords related to the benefit from sports welfare support, health, physical strength, and happiness were derived, and words related to the welfare of athletes such as athletes, competitions, events, games, and leaders appeared. As a result of sentiment analysis, the positive rate(79.52%) was found to be very high. Third, as a result of the semantic network analysis, keywords such as the public, health, sports activities, support, and service are located in the center of the network, and are confirmed as major keywords. As a result of the CONCOR analysis, ‘National Fitness 100’, ‘Sports participation Voucher’, and ‘Participation Policy of Sports for all ’ were formed.

Conclusion: The public recognition and areas of interest in sports welfare were examined and Identified based on the results of this research. That could provide the basic data required for devising the sports welfare policies.

[Keywords] Sports Welfare, Big Data, Text Mining, Sentiment Analysis, CONCOR Analysis

---

References

[1] Kim SK. A Study on the Constitutional Assignments on Sport Welfare. The Korean Association of Sports Law, 10(1), 125-147 (2007).
[3] Kim MK & Park SJ & Park BK. An Analysis of Priority Assessment on Policy Factor for Revitalization of Sports Welfare Culture. Journal of Education & Culture, 24(4), 633-658 (2018).
[5] Kim KI & Kim ML & Lee JH. Sports Welfare: Developing the Conception and the Model for the Un-derprivileged. Journal of Sport and Leisure Studies, 40(1), 197-295 (2010).
[6] Hong JS & Oh IK. Image Difference of Before and After an Incident Using Social Big Data Analysis: Focusing on a Ramp Return of “K” Airline. The Tourism Sciences Society of Korea, 30(6), 119-113 (2016).
[7] Lee YJ & Yoon JH. A Study on Utilizing SNS Big Data in the Tourism Studies: Based on an Analysis of Key Words for Tourism Information Search. Tourism Sciences Society of Korea, 28(3), 5-14 (2014).
[8] Choi HJ & Choi YC. A Study on Children`s Creativity and Character based on Big Data. Journal of Children's Literature and Education, 17(4), 601-627 (2016).
[9] Lee JH & Lee JM & Kim WK & Kim HK. A Study on Perception of Swimsuit Using Big Data Text-mining Analysis. Korean Journal of Sport Science, 28(1), 31-46 (2017).
[10] Han SH. An Analysis of News Report Characteristics on Archives & Records Management for the Press in Korea: Based on 1999~2018 News Big Data. Journal of the Korean Society for Information Management, 35(3), 41-75 (2018).
[11] Kim HS. Suggestion of Building the AI Code of Ethics through Deep Learning and Big Data Based AI. Robotics & AI Ethics, 6(1), 29-34 (2021). [Article]
[12] Lee SC & Kim DC. Policing against and Characteristic of Korean Organize Crime: Using Big Data. International Journal of Police and Policing, 3(1), 25-31 (2018). [Article]
[13] Lee JY. A Study on Anti-terror System Using Big Data Based. International Journal of Criminal Study, 3(2), 18-22 (2018). [Article]
[14] Park HH. Police Activities in the Age of Big Data Utilization. International Journal of Protection, Security & Investigation, 3(1), 14-17 (2018). [Article]
[15] Kim MC & Ryu SH. The Knowledge Structure Analysis on Para Taekwondo with Keyword Network Analysis. Kinesiology, 6(2), 64-74 (2021). [Article]
[17] Oh HK. A Study on the Perception Change in Taekwondo by Big Data Analysis. Journal of Korean Society of Sport Policy, 17(4), 161-174 (2019).
[18] Lee JM. A Study on Home Training Market Prospect and Development Plan Using Big Data Analysis. The Korean Journal of Physical Education, 60(1), 189-202 (2021).
[19] Oh SW & Han JW & Kim MS. A Social Big Data Analysis on Sport Participation. Korean Journal of Sport Management, 25(2), 18-30 (2020).
[20] Lim YH & Kim HB. A Study on the Sentiment Analysis Using Big Data of Hotels Online Review. Korean Journal of Hospitality and Tourism, 28(7), 105-123 (2019).
[21] Choi YJ & Kweon SH. A Semantic Network Analysis of the Newspaper Articles on Big Data. Journal of Cybercommunication Academic Society, 31(1), 241-286 (2014).
[22] Oh IK & Lee TS & Chon CN. A Study on Awareness of Korea Tourism through Big Data Analysis. The Tourism Sciences Society of Korea, 39(10), 107-126 (2015).
[23] Kim YW & Oh SH. Meta-analysis of the Relationship between Exercise Participants' Physical Self-concept and Happiness. Korean Journal of Physical Education, 56(3), 179-191 (2017).
[25] Kim YR. The Status and Future Development Plans of Korean National Fitness Award 100 Program. Journal of Korean Society of Sport Policy, 17(4), 161-174 (2019).
[28] Kim JS & Kim KI. Sustainable Development Plan by Analyzing the Operation Status of the Mem-bership Facilities for Sports Lecture Voucher. Journal of Korean Society of Sport Policy, 16(4), 105-119 (2018).
[29] Choi HD. Analysis of the Sports Welfare Service Delivery System for the Sports Vouchers. Journal of the Korea Entertainment Industry Association, 14(5), 131-146 (2020).

---

[2] Noh YK & Kim YR & Kim KI & Jo HJ & Lee YS & Jo WY & Y JY. A Study on Concept and Policy Imple-mentation of Sport Welfare. Korea Institute of Sport Science (2015).
[4] Korea Institute of Sport Science. 2030 Sport Vision (2018).
[16] Kim MS & Yoo ED & Kim SH & Ko KJ & Shin SY & Park SY & Kim MS. A Policy Demand Analysis for Sport for All Social Big Data Analysis. Korea Institute of Sport Science (2019).
[24] Ministry of Culture, Sports and Tourism. 2020 National Sports Participation Survey in Korea (2020).
[26] Korea Institute of Sport Science. Long-term Development Plan for National Fitness Award (2020).
[27] Ministry of Culture, Sports and Tourism. National Sports Participation Survey in Korea (2017).
[30] Ministry of Culture, Sports and Tourism. 2017 Sport White Paper (2019).
[31] Ministry of Culture, Sports and Tourism. 2019 Sport White Paper (2021).



? Source: incheonilbo.com