针对基于章节目录的分类方式过于依赖特定教材的不足，提出了基于关键词聚类的问题模糊分类方法。

Aimed at the lack of the old classification algorithm, the paper presents a question fuzzy classification algorithm based on clustering of .

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这种检索方法在文本聚类的基础上，基于概念空间并与传统的关键词检索相结合能够帮助用户快速、准确地定位所需要查找的信息。

Based on concept space and text clustering technique as well as traditional keyword searching method, it could help users to locate the information they need quickly and precisely.

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然而，中文网络短文本固有的关键词词频低、存在大量变形词等特点，使得难以直接使用现有面向长文本的聚类算法。

Since Chinese network short text is less of keywords and full of anomalous writings, the traditional text clustering method is not directly suitable for network short text clustering.

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