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基于铁路安全管理信息报告的文本挖掘技术研究

Text mining technology of railway safety management information documents

  • 摘要: 为了查找各安全管理信息报告之间的相关性,分析和利用此类报告文档丰富安全管理专业词库,文章分别采用卡方检验和朴素贝叶斯作为文本降维和分类的方法,对安全管理信息报告进行训练,形成算法模型,并利用训练模型对测试文档进行分类,测试结果准确率较高。

     

    Abstract: In order to find the correlation between the security management information reports, analyze and utilize this kind of report documents to enrich the professional word library of security management, this paper used the chisquare test and naive Bayes as the text reduction and classification method, carried out the training form calculation model of the security management information report, and used the training model to classify the test documents. The accuracy of test results is high.

     

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