Application of Text Mining Techniques in Railway Safety Supervision System

Abstract

Railway safety is the most important in railway transportation. It is the cornerstone of all railway work and involves a wide range of departments. In the age of unstructured big data, it is an urgent problem to solve unstructured data, which contains a lot of information value by using advanced technology. This paper introduces the application of text analysis in railway safety supervision system based on massive data of accident and fault analysis report, analysis the importance of text mining techniques for railway safety system, the key technology of text analysis. Finally, based on the Railway Security Big Data Application Platform, we mainly introduce two classic functions of full-text retrieval and text classification based on text analysis technology on this platform. The application of the platform proves that text analysis plays a key role in railway safety supervision system.