摘要
以往文本过滤的研究主要集中于主题性过滤,然而随着网络的发展,倾向性文本过滤在网络信息安全方面的作用越来越大。论文阐述了一个倾向性文本过滤系统TTFS(TendencyTextFilteringSystem),能够对具有关于某个主题的特定倾向的文本进行过滤。该系统充分利用了领域知识,采用了语义模式分析等技术,实验表明其查全率和查准率高,速度较快。
Most of the research on text filtering is about thematic text filtering,but with the fast development of the web,tendency text filter is having more effects on web information security.This paper presents a tendency text filtering system TTFS,which can filter the text documents that have specific tendency toward a certain theme.TTFS makes full use of field knowledge,and adopts some techniques such as semantic pattern analyzing,etc.Experiments show that TTFS has high recall and precision,and its filtering speed is high.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第30期137-140,共4页
Computer Engineering and Applications
基金
国家自然科学基金(编号:60173027)资助
关键词
倾向性文本过滤
语义模式分析
互关联后继树
Tendency Text Filtering,Semantic Pattern Analysis,Inter-Relevant Successive Tree
