0 508

Cited 0 times in

텍스트 마이닝을 이용한 산업재해 원인의 탐색적 연구

Other Titles
 An Exploratory Study of the Causes of Industrial Accidents Using Text Mining 
Authors
 김홍관  ;  황용우  ;  천영우  ;  원종욱  ;  김치년  ;  이익모 
Citation
 Korean Journal of Hazardous Materials (한국위험물학회지), Vol.9(1) : 1-11, 2021-06 
Journal Title
Korean Journal of Hazardous Materials (한국위험물학회지 )
ISSN
 2288-6338 
Issue Date
2021-06
Keywords
big-data ; causes of industrial accidents ; risk assessment ; text mining
Abstract
This study conducted network analysis by utilizing text mining among keywords extracted from the causes of industrial accidents. To address this, Textom was utilized to examine the causes of industrial accidents covered in the abstracts of research papers on ‘risk assessment’, and attempted to search their correlation. Keywords including “chemicals”, “fire”, and “explosion” had a high frequencies in occurrence, and many studies on risk assessment have been conducted around “chemicals”. Moreover, it is necessary that often cause industrial accidents are approached with risk awareness. After the CONCOR analysis, four clusters were formed which will help identify hazards and risk factors in risk assessments, adequately analyze assessment contents, and decide risk assessments.
Full Text
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10571781
DOI
10.31333/kihm.2021.9.1.1
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Occupational and Environmental Medicine (작업환경의학과) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Kim, Chi Nyon(김치년) ORCID logo https://orcid.org/0000-0002-5693-3307
Won, Jong Uk(원종욱) ORCID logo https://orcid.org/0000-0002-9200-3297
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/190426
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links