Natural Language Processing for the identification of Human factors in aviation accidents causes: An application to the SHEL methodology

作者：

Highlights：

• Automated identification of human factors in aviation accidents.

• Natural Language Processing framework based on Machine Learning techniques.

• Tests done from real accident reports and checked by industrial experts.

• Reduction of time and costs up to 30%.

摘要

•Automated identification of human factors in aviation accidents.•Natural Language Processing framework based on Machine Learning techniques.•Tests done from real accident reports and checked by industrial experts.•Reduction of time and costs up to 30%.

论文关键词：SHEL,Human factor,Aviation safety,Natural Language Processing

论文评审过程：Received 30 October 2020, Revised 29 June 2021, Accepted 28 July 2021, Available online 8 August 2021, Version of Record 9 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115694