The objective of this study is to identify the research trend in the field of indoor environment in Korea. We collected 419 papers published in the Journal of the Korean Society for indoor environment between 2004 and 2018, and attempted to produce datasets using a topic modeling technique, Latent Dirichlet Allocation(LDA). The result of topic modeling showed that 8 topics (“VOCs investigation”, “Subway environment”, “Building thermal environment”, “School health”, “Building particulate matter”, “Asbestos risk”, “Radon risk”, “Air cleaner and treatment”) could be extracted using Gibbs sampling method. In terms of topic trends, investigation of volatile organic compounds, subway environment, school health, and building particulate matter showed a decreasing tendency, while the building thermal environment, asbestos risk, radon risk, air cleaners, and air treatment showed an increasing tendency. The results of this topic modeling could help us to understand current trends related indoor environment, and provide valuable information in developing future research and policy frameworks.

Abstract
 1. 서 론
 2. 연구 방법
  2.1 데이터 수집
  2.2 텍스트 마이닝 기법에 의한 데이터 처리
  2.3 토픽모델링 분석
 3. 연구 결과 및 고찰
  3.1 토픽모델링 결과
  3.2 토픽 동향 분석
  3.3 연관어 및 네트워크 분석
 4. 결 론
 References

• 전형진(한국환경정책평가연구원) | Hyung Jin Jeon (Korea of Environment Institute)
• 김도연(한국환경정책평가연구원) | Do Youn Kim (Korea of Environment Institute)
• 한국진(한국환경정책평가연구원) | Kook Jin Han (Korea of Environment Institute)
• 김동우(한국환경정책평가연구원) | Dong Woo Kim (Korea of Environment Institute)
• 손승우(한국환경정책평가연구원) | Seung Woo Son (Korea of Environment Institute)
• 이철민(서경대학교 화학생명공학과) | Cheol Min Lee (Department of Chemical & Biological Engineering, Seokyeong University) Corresponding author