最后在完成基于SVM多类别分类的理论研究的基础上，将其理论应用于实践，构建了一个了基于SVM的网络文本分类模型。

Finally, based on basic research of multi-class categorization of SVM, the text applies the theory to practice and analyzes a web text categorization model based on SVM network.

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提出一种基于云理论和神经网络构造决策树的文本分类方法。

This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.

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提出并实现了一种结合前馈型神经网络和K最近邻的文本分类算法。

This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.

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