摘要
提出一种基于特征词和局部语义分析的文本分类与过滤方法,在基于特征词统计特性分析的基础上,将特征词的知识属性和局部语法匹配引入信息过滤模型,实验结果表明,这种方法对于某些领域的文本信息可以有效地进行识别和过滤.
A method of information filtering based on key words and local semantic analysis is presented in this paper. In the method, the knowledge attribute of key words and the local semantic matching are introduced into＇ the information filtering model. The experimental results show that the presented method is able to detect and filter the network text information of some types effectively.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
北大核心
2006年第6期1248-1252,共5页
Journal of Sichuan University(Natural Science Edition)
关键词
信息安全
信息过滤
内容分析
特征值
information security
information filtering
content analysis
deature selection
