Acknowledgement
본 논문은 2022년 스마트건설기술개발사업(과제번호: 22SMIP-A158708-03)의 일환으로 수행된 연구임
Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)
- 2022.04a
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- Pages.31-32
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- 2022
Analysis of Construction Accident Incident Using Latent Dirichlet Allocation-based Topic Modeling
잠재 디리클레 할당 기반 토픽 모델링을 통한 건설재해 사례 분석
- Published : 2022.04.20
Abstract
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.