Research on data processing method of railway safety information based on NLP technology

被引：1

作者：

Liu, Jiaxing ^{[1
]}

Nie, Tianqi ^{[1
]}

Li, Xinqin ^{[2
]}

Dong, Xingzhi ^{[3
]}

机构：

[1] Natl Railway Adm, Safety Technol Ctr, Beijing 100160, Peoples R China

[2] China Acad Railway Sci, Inst Comp Technol, Beijing 100081, Peoples R China

[3] China Acad Railway Sci, Postgrad Dept, Beijing 100081, Peoples R China

来源：

SIXTH INTERNATIONAL CONFERENCE ON ELECTROMECHANICAL CONTROL TECHNOLOGY AND TRANSPORTATION (ICECTT 2021) | 2022年 / 12081卷

关键词：

component; Railway; Security Information; NLP; Text Retrieval; Text Classification;

D O I：

10.1117/12.2624272

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to meet the needs of railway safety supervision, further improve the efficiency and intelligent level of railway safety information data processing, based on unstructured railway safety information text data and NLP (natural language processing) key technology, a safety information data processing system is constructed. By analyzing the application scenario of NLP technology and combining the actual needs of railway safety information data processing, the key technologies of unstructured text full-text retrieval and classification are deeply studied, and the full-text retrieval and intelligent classification of railway safety information data are realized. The establishment of the system can deeply mine the key, regular and tendentious problems hidden in the railway safety information text, improve the data processing efficiency and data utilization rate of railway safety information, and provide support and reference for safety decision-making and safety supervision.

引用

页数：7

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