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OALib Journal期刊
ISSN: 2333-9721
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Research and Implementation of Text Filter and Categorization System for Content Security
面向信息内容安全的文本过滤和分类系统研究与实现

Keywords: Text categorization,Chinese information processing,Information security,String matching
文本过滤
,系统研究,内容安全,面向,自动分类系统,数据截取,网络环境下,分类器,探测器,安全应用,信息内容,过滤性能,匹配算法,规则匹配,模型设计,向量空间,人工干预,自动学习,技术性能,字符串,查全率,查准率,高速

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Abstract:

A text filter and categorization system is designed and implemented for content security application. We use Detector and Categorizer to capture, reassemble and filter packet stream in high traffic network. The Detector only use simple rules to filter packets. Combining automatic learning and manual processing, The Categorizer use the simple SVM to categorize. The evaluations and results is given.

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