摘要
文章基于自然语言理解和神经网络技术,通过对实际应用的分析,建立了三个领域知识的规则库,设计了一个针对BBS站点的过滤系统原型,实现了对网络上某一特定内容信息的过滤和监控功能,达到了较好的实用效果。
This paper is based on Natural Language Understanding and neural network technology, through the analysis of practical application, established three rule base of the domain knowledge, designed a prototype of the filter system to BBS site, the system has the filtering and monitoring capabilities of a particular content information on the network, and achieved good practical effect.
出处
《信息网络安全》
2012年第10期13-16,共4页
Netinfo Security
关键词
不良信息
倾向性
信息过滤
adverse information
tendency
information filtering
