Study on Chinese text clustering models in compliance with the characteristics of Chinese texts.

针对中文文本组成上的特点，研究了中文文本聚类的模型。

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But the research of Chinese text clustering is at its early stage, and there are still many problems to be resolved.

但是国内中文文本聚类的研究还处于初期阶段，还存在许多问题亟待解决。

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Using HowNet's complete knowledge system to construct Concept Dictionary and Concept Hierarchy, we realized a kind of Chinese text clustering algorithm based on concept.

利用知网较完备的知识体系来构造概念词典和概念层次结构，实现了一种以知网为背景知识的基于概念的中文文本聚类算法。

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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.

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。

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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.

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。

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