Text-based Hazard Classification
Text-Based Hazard Classification is a systematic method for identifying, categorizing, and assessing potential hazards through the analysis of textual data, distinguishing it from other hazard classification approaches by its exclusive reliance on linguistic or written information as the primary source for risk determination.
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3K
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174
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77
Institutions
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2017–2026
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Antoine J.‐P. Tixier, Matthew R. Hallowell, Balaji Rajagopalan et al. · Automation in Construction · 2015 · 325 citations · Full text
An improved text mining approach to extract safety risk factors from construction accident reports
Na Xu, Ling Ma, Qing Liu et al. · Safety Science · 2021 · 187 citations · Full text
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University of Colorado Boulder
Boulder, United States
4 h-index
14 publications
952 citations
China University of Mining and Technology
Xuzhou, China
4 h-index
10 publications
746 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
5 publications
618 citations
University of Washington
Seattle, United States
2 h-index
3 publications
128 citations

Universidade Federal de Pernambuco
Recife, Brazil
2 h-index
9 publications
266 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
62 citations
China Three Gorges Corporation (China)
Beijing, China
2 h-index
2 publications
62 citations
Tianjin University
Tianjin, China
2 h-index
5 publications
153 citations
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5 publications · 280 citations
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3 publications · 259 citations
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3 publications · 720 citations
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2 publications · 222 citations
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2 publications · 46 citations
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