基于Web的文本挖掘技术研究

Internet上大多数信息的表现形式为文本,如何在浩瀚的文本信息中挖掘到潜在的知识是一个有待解决的问题。文本挖掘的目的是从不同格式的文本中发现有用的知识,这是一个分析文本并从中抽取特定信息的过程。系统地介绍了文本挖掘的含义,并对文本挖掘过程的各个方面进行了进一步的探讨,包括文本特征的建立、特征的提取技术、文本的分类、文本的聚类等相关技术。同时提出了一种基于Web的文本信息挖掘的模型,将以高校BBS论坛为信息源,利用高级语言开发技术来构建一个自动的文本分类器。

Research on Text Mining Techniques Web- Based

Most information on Internet are text formatting. How to find the potential knowledge from the immensity text information is an awaiting to be settled question, which is the purpose of text mining. This is a process for analyzing text and getting the customizing messages from them. This paper introduces what is the text mining systemically, and it also further discusses the aspects involved in text mining process, including text architecture construction, feature mining, text categorization, text clustering etc. And a text mining model based on Web is presented. And will build an automatic text classification system on BBS by using programming language.