本文从理论上探讨了向量空间模型及其改进模型在专题文献过滤中的相关算法。

This article discussed the algorithms of literature filtering based on vector space model (VSM) and other improved models.

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该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。

This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.

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本文介绍了文本自动分类的研究方法，文本的向量空间模型表示。并给出了文档的训练算法和分类算法。

It introduces the method of the text auto-categorization, briefly describes the vector space model expression, and finally gives training arithmetic and categorization arithmetic of the text.

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