文本挖掘技术在公安领域案件分析中的应用  

Application of Text Mining Technology in the Field of Public Security

作　　者：魏文燕 吕鑫 高琰[1] 

机构地区：[1]中南大学,湖南长沙410012 [2]长沙市公安局,湖南长沙410005

出　　处：《湖南警察学院学报》2017年第3期98-104,共7页Journal of Hunan Police Academy

摘　　要：为辅助民警办案,提高搜集情报、侦查破案的能力,结合公安领域案件文本数据的特点,将文本挖掘技术应用于公安领域案件的分析处理中,提出了一个基于文本挖掘技术的案件信息处理框架。框架主要包括:信息抽取模块,案件分类模块。信息抽取模块主要运用正则表达式方法,可以有效地提取出所需求的线索信息,在完成线索信息提取之后,将具有相同线索信息的案件进行串并案。在案件分类模块中,构建了层次SVM分类器和规则分类器,将两者结合对案件进行分类。在一定规模的数据集下对该框架进行了功能和性能测试,获得了较为满意的结果。In order to assist the police handling the case, improve the ability to collect intelligence, detect and sol＇ze the case, this paper analyzes the characteristics of text data in the field of public security cases, and applies text mining technology to the analysis and processing of public security cases, and proposes a framework of case information processing based on text mining technology. The framework mainly includes： information extraction module, case classification module. The information extraction module mainly uses the regular expression method, which can extract the cue information effectively. After the extraction of the cue information, the case with the same cue information will be concatenated. In the case classification module, a SVM classifier and a rule classifier are constructed, which combine the two cases to classify the cases. The function and performance of the framework are tested under a certain data set, and satisfactory results are obtained.

关 键 词：案件分析 信息抽取 文本挖掘 SVM分类 

分 类 号：D631.2[政治法律—政治学]