基于微博客系统中的文本信息过滤算法分析与探讨

Text Information Filtering Algorithm Analysis and Research Based on Micro-blog System

近几年来,随着互联网的迅速发展,微博系统的用户日趋增多。随着计算机犯罪活动的日益猖獗,人们对于网络与系统安全展开了大量研究,但对于网上媒体信息内容的安全问题,只是在近年来才逐渐得以重视。因此,针对这一重大问题,本文结合自然语言理解、中文信息处理等学科的相关知识,通过分析各类不良信息的特征,结合本系统中的实验,研究了不良文本信息处理的进展情况,研究了适合不良文本信息过滤的概念网分析模型、过滤算法等。

In recent years, with the rapid development of Internet, there are more micro-blog users and computer crimes have become increasingly rampant. Some research on computer and internet security have been carried out. But, online media information content security starts to be taken into consideration recent years. Finding a solution to this problem is one of the greatest challenges faced by people . this paper analyses the features of all kinds of bad information based on natural language, and Chinese information processing and other disciplines related to knowledge. Then, it focus on the progress of bad text information processing and explores concept network analysis model of information filtering and filter algorithm.