Development of Leisure Policy using Big Data

Kim, Kyungsik; Jin, Han Seung; Yeon-Ju, Lee; Han, Seungbaek

doi:10.24826/kscs.8.2.2

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…그럼에도 불구하고 2010년까지 우리나라에서 스포츠 분야에서 빅데이터를 활용한 논의는 활발히 이루어지지 못하였다. 한편, 최근에는 4차 산업혁명의 영향으로 빅데이터 활용에 대한 관심이 사회 전반적으로 증가하고 있고 그 기술도 비약적으로 발전하고 있으며, 스포츠에서의 활용도 지속해 증가하고 있다 [3][4][5][6]. 생활체육 분야에서도 다양한 방법으로 빅데이터를 활용한 연구가 이루어진다면, 미래의 생활체육 교육이나 국민들의 건강 증진, 생활체육에의 참여 및 복지에 인사이트를 제공하고 기여할 수 있을 것이다.…”

Section: 서론unclassified

Perception Analysis on German Physical Education Using Big Data: Focusing on Sports for All

Yoo¹

2023

APJCRI

View full text Add to dashboard Cite

The purpose of this study is to find out the public's perception of 'German sports' by using big data, and to derive what can be an implication in the field of life sports. For this purpose, text mining was conducted for one year from February 2021 to February 2022 after searching for 'German Sports' on the portal. After the text was collected with big data analysis software, word frequency analysis, TF-IDF, N-gram, connection centrality analysis, and network visualization were performed. Words that can be said to be related to life sports include 'life,' 'school,' 'education,' 'region,' and 'facility' in the top 50 in the frequency analysis, and 'education,' in the connection centrality analysis. 'school,' 'life,' 'policy,' 'exercise,' 'support,' 'activity,' and 'region' were included in the top 50. However, there was no mention of specific methods such as 'sports club' in both frequency and centrality of connection. In the result of N-gram network analysis, 'life-sports' was included in 6th place. Keywords that are frequently mentioned or considered important should be considered as priorities when establishing sports for life policies. However, on the other hand, it will also be necessary to promote and draw attention to keywords that are important but not often mentioned.

show abstract

Section: 서론unclassified

Perception Analysis on German Physical Education Using Big Data: Focusing on Sports for All

Yoo¹

2023

APJCRI

View full text Add to dashboard Cite

show abstract

Development of Leisure Policy using Big Data

Cited by 1 publication

References 0 publications

Perception Analysis on German Physical Education Using Big Data: Focusing on Sports for All

Perception Analysis on German Physical Education Using Big Data: Focusing on Sports for All

Contact Info

Product

Resources

About