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 decisionmaking and safety supervision.


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    Titel :

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


    Beteiligte:
    Liu, Jiaxing (Autor:in) / Nie, Tianqi (Autor:in) / Li, Xinqin (Autor:in) / Dong, Xingzhi (Autor:in)

    Kongress:

    Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021) ; 2021 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12081


    Erscheinungsdatum :

    07.02.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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