Text Mining-Based Approach for Identifying Critical Accident Causes in Highway Construction-Reference-Cited by-同舟云学术

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Text Mining-Based Approach for Identifying Critical Accident Causes in Highway Construction

Published:2024-01-25 Issue: Volume:23 Page:1105-1112
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Do Quan¹²³,Le Tuyen¹²³,Le Chau¹²³

Affiliation:

1. Ph.D. Student, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC. Email:

2. Assistant Professor, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC. ORCID: .

3. Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, North Dakota State Univ., Fargo, ND. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485248.132

Reference16 articles.

1. Automatically learning construction injury precursors from text

2. Bureau of Labor Statistics. (2021). Fatal occupational injuries for selected industries 2016-20. https://www.bls.gov/news.release/cfoi.t04.htm.

3. Analyses of systems theory for construction accident prevention with specific reference to OSHA accident reports

4. Analyzing Arizona OSHA Injury Reports Using Unsupervised Machine Learning

5. Construction accident narrative classification: An evaluation of text mining techniques

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