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텍스트 마이닝을 이용한 산업재해 원인의 탐색적 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김치년 | - |
dc.contributor.author | 원종욱 | - |
dc.date.accessioned | 2022-09-14T01:22:15Z | - |
dc.date.available | 2022-09-14T01:22:15Z | - |
dc.date.issued | 2021-06 | - |
dc.identifier.issn | 2288-6338 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/190426 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | Korean | - |
dc.publisher | 한국위험물학회 | - |
dc.relation.isPartOf | Korean Journal of Hazardous Materials (한국위험물학회지 ) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | 텍스트 마이닝을 이용한 산업재해 원인의 탐색적 연구 | - |
dc.title.alternative | An Exploratory Study of the Causes of Industrial Accidents Using Text Mining | - |
dc.type | Article | - |
dc.contributor.college | Graduate School of Public Health (보건대학원) | - |
dc.contributor.department | Graduate School of Public Health (보건대학원) | - |
dc.contributor.googleauthor | 김홍관 | - |
dc.contributor.googleauthor | 황용우 | - |
dc.contributor.googleauthor | 천영우 | - |
dc.contributor.googleauthor | 원종욱 | - |
dc.contributor.googleauthor | 김치년 | - |
dc.contributor.googleauthor | 이익모 | - |
dc.identifier.doi | 10.31333/kihm.2021.9.1.1 | - |
dc.contributor.localId | A01064 | - |
dc.contributor.localId | A02442 | - |
dc.relation.journalcode | J03848 | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10571781 | - |
dc.subject.keyword | big-data | - |
dc.subject.keyword | causes of industrial accidents | - |
dc.subject.keyword | risk assessment | - |
dc.subject.keyword | text mining | - |
dc.contributor.alternativeName | Kim, Chi Nyon | - |
dc.contributor.affiliatedAuthor | 김치년 | - |
dc.contributor.affiliatedAuthor | 원종욱 | - |
dc.citation.volume | 9 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 11 | - |
dc.identifier.bibliographicCitation | Korean Journal of Hazardous Materials (한국위험물학회지), Vol.9(1) : 1-11, 2021-06 | - |
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