텍스트마이닝을 활용한 컬러테라피 연구 동향 분석: 국내 학위·학술논문을 중심으로

In modern society, rapid technological advancement and increasingly individualized lifestyles have contributed to a rise in psychological and emotional isolation and instability. As a result, there is growing interest in accessible methods for emotional recovery in daily life. Within this context, color therapy has garnered attention as a non-invasive and integrative psychological intervention that utilizes the properties of color. Although color therapy is being widely applied across various fields, research remains fragmented across disciplines, making it difficult to comprehensively understand the overall knowledge structure and thematic trends. This study aims to systematically analyze the knowledge structure and key research trends of color therapy in Korea, and to visually identify the relationships and developmental trajectories among major research topics. To achieve this, a total of 117 domestic theses and academic journal articles published between 2005 and 2024 were collected from the Dbpia academic database. Using MeCab-IMC and UciNet, text mining, centrality analysis, and CONCOR cluster analysis were conducted. The results revealed that keywords such as “color therapy,” “stress,” and “program” were most prominent, with “color” and “therapy” serving as central concepts that connected a wide range of topics. The CONCOR analysis identified four thematic clusters: (1) core theories and psychological effects, (2) application methodologies and practical processes, (3) interdisciplinary fields and extended concepts, and (4) specific target groups and education. This study provides a comprehensive view of the academic trajectory and practical expansion of color therapy, offering foundational data for future topic selection, program development, and applied implementation. It also highlights the need for further in-depth studies, including international comparisons, longitudinal trend analyses, and the integration of practitioner perspectives.