earticle

영어

The purpose of this study is to explore public perceptions, core themes, and semantic structures surrounding the Korea Billiards Federation (KBF) using big data analysis. As the KBF transitions from a traditional recreational organization to a structured sports industry leader, it is essential to understand how the public discusses and associates the organization across digital platforms. To achieve this, data were collected from Naver, Daum, and Google between April 18, 2022, and November 30, 2024, using the keyword "Korea Billiards Federation." A total of 15,758 cases were gathered and analyzed through the Textom platform. After preprocessing the text, keyword extraction was performed based on Term Frequency (TF) and Term Frequency-Inverse Document Frequency(TF-IDF). Subsequently, a semantic network analysis was conducted using UCINET 6.0 and NetDraw to examine degree, closeness, and betweenness centrality. A CONCOR(Convergence of Iterated Correlations) analysis was also applied to classify clusters and interpret contextual meaning. As a result, four key semantic clusters emerged. First, the Division League cluster focuses on the KBF’s role in grassroots and amateur league operations. Second, the Federation cluster reflects governance, national tournaments, and referee systems. Third, the Professional cluster highlights the structure of professional leagues, rankings, and prize systems. Fourth, the Achievement cluster represents individual performance, championships, and player branding. These findings provide strategic insights into the federation’s branding, policy development, and marketing directions and serve as a foundation for the systematic development of Korea’s billiards industry.