Research on data processing method of railway safety information based on NLP technology
Shaowen Fan, Jiaxing Liu, Guoping An, Xinqin Li · 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) · 2021
Aiming at the text data of railway transportation safety, designed the platform of the unstructured text data converte into the structured data, and assist the security text data further mined. Summarize the data characteristics, and design the overall framework and business process of the platform from the perspective of data security and intelligent data operation. The named entity recognition and text classification models that can realize text structural transformation are studied. Some models are built into the platform according to the characteristics of data. The interaction mode between model learning and platform is designed. The platform provides a structured transformation tool for text data analysis in the field of railway transportation security.