Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types
Author:
Affiliation:
1. Department of Industrial Engineering, Yonsei University, Seoul, South Korea
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/17457300.2023.2300424
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1. Text mining of accident reports using semi-supervised keyword extraction and topic modeling
2. Akosa J. (2017). Predictive accuracy: A misleading performance measure for highly imbalanced data [Paper Presentation]. Proceedings of the SAS Global Forum.
3. Enhancing construction safety: Machine learning-based classification of injury types
4. Architectural Institute of Korea (AIK). (2020). Online Dictionary of Architecture & Architectural Engineering (AIK’s ArchiDic). http://dict.aik.or.kr/ [in Korean]
5. The role of structured and unstructured data managing mechanisms in the Internet of things
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