面向信息内容安全的文本过滤模型研究

摘要

该文设计了一种面向信息内容安全的不良文本信息过滤模型.该模型采用主题信息过滤和倾向性过滤两级过滤模式,以语句为基本处理单元,采用依存句法获取语句的语义框架,结合基于知网的词汇褒贬倾向性判别,识别文本中的不良信息并予以过滤.实验表明,该模型能够较好地提高文本过滤效率和准确率.%In this paper,we designed a content security orieuted filtering model.This model adopts two-tier filtering mode,and the first tier is a subject-based text filtering,and the second tier is a tendency text filtering for the relevant texts.With sentence as the basic processing unit,This model adopts dependency parsing to get the semantic framework.By combination with the semantic orientation based on HowNet with the semantic framework,the harmful information can be identified and filtered at a better accuracy and efficiency.