基于语义分析的网络不良信息过滤系统研究  

REASERCH ON FILTERING SYSTEM OF HARMFUL INFORMATION ON INTERNET BASED ON SEMANTIC ANALYSIS

作　　者：吕滨[1] 雷国华[1] 于燕飞[1] 杨泽雪[1] 王亚东[1] 

机构地区：[1]黑龙江工程学院,黑龙江哈尔滨150050

出　　处：《计算机应用与软件》2010年第2期283-285,共3页Computer Applications and Software

摘　　要：设计一种基于语义分析的信息过滤模型。该模型针对不良信息的特点,以自然语句为处理单元,采用主题词和语义分析的两级过滤工作模式,可以同时获得较高的处理效率和精度。样本实验表明,该过滤模型能够更好地满足不良信息过滤的实时性和准确性要求。We designed an information filtering model based on semantic analysis in this paper. In light of the characteristics of the harmful information, this model uses natural language sentences as the processing unit, and adopts two-tier filtering mode in regard to key words and semantic analysis, and achieves higher processing efficiency and accuracy simultaneously. Sample experiments showed that the filter model can better meet the needs of real-time and accuracy in filtering harmful information.

关 键 词：信息过滤 语义分析 文本过滤 不良信息 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术] TP391.12[自动化与计算机技术—计算机科学与技术]