Construction site accident analysis using text mining and natural language processing techniques

Workplace safety is a major concern in many countries. Among various industries, construction sector is identified as the most hazardous work place. Construction accidents not only cause human sufferings but also result in huge financial loss. To prevent reoccurrence of similar accidents in the futu...

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Veröffentlicht in:	Automation in construction Jg. 99; S. 238 - 248
Hauptverfasser:	Zhang, Fan, Fleyeh, Hasan, Wang, Xinru, Lu, Minghui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.03.2019 Elsevier BV
Schlagworte:	Accident analysis Algorithms Bayesian analysis Complex Systems – Microdata Analysis Construction accidents & safety Construction industry Construction site accident analysis Construction site accidents Decision trees Forensic engineering Komplexa system - mikrodataanalys Machine learning Natural language Natural language processing Object recognition Occupational safety Optimization Quadratic programming Regression analysis Risk analysis Risk management Sequential quadratic programming Support vector machines Text mining Weight Text mining Natural language processing Sequential quadratic programming Construction site accident analysis Optimization Machine learning
ISSN:	0926-5805, 1872-7891, 1872-7891
Online-Zugang:	Volltext
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