期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：189
期号：6
页码：062009
DOI：10.1088/1755-1315/189/6/062009
语种：English
出版社：IOP Publishing
摘要：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
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