earticle

영어

This study empirically analyzed Korean society's perception of Vietnamese beauty education, utilizing big data-based text mining and social network analysis. To this end, keyword frequency analysis, TF-IDF, N-gram analysis, degree centrality analysis, and CONCOR clustering was conducted on unstructured text data collected from major Korean portal sites from July 1, 2023, to October 4, 2025. Analysis revealed keywords in the following order: beauty, Vietnam, education, international market, Korea, academy, and medical. The network structure exhibited high density and short connection distances, demonstrating a cohesive structure. Degree centrality analysis suggests that beauty and education, combined with the regional context of Vietnam, have the potential for institutional and cultural diffusion. The four clusters identified through CONCOR analysis were education and technology network, global industry linkage, field and entrepreneurship-focused, and medical and beauty convergence. This study is significant in that it provides a theoretical foundation for establishing internationalization strategies in the field of beauty education and developing global educational content, and can contribute academically to the design of future educational policies linked to the K-beauty industry.

중국어

本研究旨在通过大数据文本挖掘与社会网络分析,实证分析韩国社会对越南美容教育 的认知结构. 为此,本研究以2023年7月1日至2025年10月4日期间韩国主要门户网站的非结构 化文本数据为研究对象,开展了关键词频次分析, TF-IDF算法, N-gram分析, 连接中心性 分析以及CONCOR聚类分析等系列研究.分析结果显示,美容, 越南, 教育, 国际市场, 韩国, 学术界, 医疗等领域的关联度依次排列.网络结构呈现出高密度, 短连接距离的特征, 形成了高度凝聚的网络形态.连接中心性分析表明,美容与教育领域与越南的地域背景相结 合,展现出制度化与文化传承的传播潜力.通过CONCOR分析得出的四个集群,分别命名为 教育技术网络,全球产业联动,现场创业中心,医疗美容融合.本研究在美容教育领域具有 重要价值 : 既为国际化战略制定和全球教育内容开发提供了理论基础,又有望为未来与K-美 容产业联动的教育政策设计提供学术支持.