Railroad accident causal analysis with unstructured narratives using bidirectional encoder representations for transformers-Reference-Cited by-同舟云学术

Railroad accident causal analysis with unstructured narratives using bidirectional encoder representations for transformers

Published:2022-10-07 Issue: Volume: Page:1-20
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Song Bing¹^ORCID,Ma Xiaoping²,Qin Yong²,Hu Hao¹,Zhang Zhipeng¹

Affiliation:

1. Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China

2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

Funder

National Natural Science Foundation of China

State Key Laboratory of Rail Traffic Control and Safety

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2022.2128956

Reference31 articles.

1. Transportation sentiment analysis using word embedding and ontology-based topic modeling

2. Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling

3. Text Mining the Contributors to Rail Accidents

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