잠재 디리클레 할당 기반 토픽 모델링을 통한 건설재해 사례 분석

Analysis of Construction Accident Incident Using Latent Dirichlet Allocation-based Topic Modeling

  • 김창재 (고려대학교 건축사회환경공학과) ;
  • 김하림 (고려대학교 건축사회환경공학과) ;
  • 이창수 (고려대학교 건축사회환경공학과) ;
  • 조훈희 (고려대학교 건축사회환경공학부)
  • 발행 : 2022.04.20

초록

The construction industry has more safety accidents than other industries. Although there have been more attempts to reduce safety hazards in the industry such as the enforcement of the "Serious Accidents Punishment Act (SAPA)", construction accident has not been reduced enough. In this study, analysis of safety risk factors has been made through Latent Dirichlet Allocation (LDA)-based topic modeling. Risk analysis in construction site would be improved with natural language processing and topic modeling.

키워드

과제정보

본 논문은 2022년 스마트건설기술개발사업(과제번호: 22SMIP-A158708-03)의 일환으로 수행된 연구임