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This study aims to examine the overall trends of domestic forest healing research by period using keyword frequency analysis and LDA topic modeling techniques among text mining methods and to derive the direction of future forest healing research topics. To achieve the research purpose, the period from 2008 to 2017 was set as the first period, and the period from 2018 to 2025 was set as the second period. The analysis data was analyzed from the abstracts of 465 forest healing-related academic papers published in academic journals that are candidates for KCI listing or higher. The R program was used to collect and preprocess data by period, and keyword frequency analysis and LDA topic modeling were performed. The frequency analysis results showed that the top keywords related to forest healing programs, diseases, targets, effectiveness, and places appeared in both periods 1 and 2. The top keywords that appeared only in period 1 were concentration, comparison, diseases, and health promotion, and the top keywords that appeared only in period 2 were scale, meditation, awareness, elderly, therapy, and satisfaction. As a result of LDA topic modeling, the topics of the first period were improvement of environmental diseases, management of children’s stress, establishment and operation of forest healing facilities, development of forest healing programs based on preferences, and medical functions of forest healing. The topics of the second period were activation of forest healing services, development of forest healing programs for the elderly and verification of their effectiveness, establishment of forest healing spaces, effectiveness of various healing environments, and establishment of forest healing infrastructure according to changes in the times. Based on these results, the topics of follow-up forest healing research were explored and directions were suggested.
본 연구는 텍스트 마이닝 방법 중 키워드 빈도분석과 LDA 토픽모델링 기법을 활용하여 시기별 국내 산림치유 연구의 전반적인 동향을 살펴보고 향후 산림치유 연구 주제의 방향성을 도출하는데 목적이 있다. 연구목적 달성을 위해 2008년부터 2017년까지를 제1시기, 2018년부터 2025년까지를 제2시기로 설정하였다. 분석 데이터는 KCI 등재후보 이상 학술지에 게재된 465편의 산림치유 관련 학술 논문의 초록을 분석 대상으로 하였다. R프로그램을 활용하여 시기별로 데이터 수집 및 전처리 과정을 진행하였으며, 키워드 빈도분석 및 LDA 토픽모델링을 실시하였다. 빈도분석 결과 1시기와 2시기에서 공통적으로 산림치유프로그램, 질환, 대상, 효과성, 장소와 관련된 상위 키워드가 등장하였다. 1시기에만 등장한 상위 키워드는 농도, 비교, 질병, 건강증진 등이 도출되었으며, 2시기에만 등장한 상위 키워드는 척도, 명상, 인식, 노인, 요법, 만족도가 있었다. LDA 토픽모델링 결과 1시기 토픽은 환경성질환 완화, 아동 스트레스 관리, 산림치유시설 조성 및 운영, 선호도 기반 산림치유프로그램 개발, 산림치유의 의학적 기능으로 나타났으며, 2시기 토픽은 산림치유서비스 활성화, 노인 대상 산림치유프로그램 개발 및 효과검증, 산림치유공간 조성, 다양한 치유환경의 효과성, 시대적 변화에 따른 산림치유인프라 조성으로 나타났다. 이러한 결과를 바탕으로 후속 산림치유 연구의 주제를 탐색하고 방향성을 제시하였다.
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