Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports
By Antoine Jean-Pierre Tixier, Matthew R. Hallowell, Balaji Rajagopalan, Dean Bowman. 2016
315 citations recorded by the source corpus.
Subfields: Education, Management of Technology and Innovation, Radiological and Ultrasound Technology
View Paper: https://www.semanticscholar.org/paper/19031710d4c76d99ea2b3abee749c4bfb9925c82
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In Radiological and Ultrasound Technology
Citations in the corpus
- Application of machine learning to construction injury prediction (2016, methodology): “'s [66] NLP tool could not extract the safety outcome injury severity, so for this prediction task, the 1829 reports manually analyzed by Prades Villanova [70] and Desvignes [22] had to be used.”