本文简要介绍了文本过滤的背景和发展 ,提出了基于示例的中文文本过滤模型 .其基本思想是首先对于用户提出的示例文本进行文本结构分析 ,采用本文提出的文本层次分析方法 ,提取文本特征 ,形成主题词表示的用户模版 (user profile) ,然后进行文本过滤 ,同时引进段落匹配机制 ,提高过滤效率 .通过用户反馈 ,改进用户模版 This paper briefly introduces the background and development of text filtering and puts forward an example-based Chinese text filtering model.The basic idea is to analyze the text structure of the sample text proposed by the user firstly, and then extract the text features by using the text-level analysis method proposed in this paper, Form a user profile of the keyword representation, then perform text filtering, introduce a paragraph matching mechanism to improve the filtering efficiency, and improve user templates through user feedback