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

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。

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The results of experiment demonstrate that the SVM decision tree built up by this method has a good classification performance.

实验结果表明，这种方法构造的SVM决策树分类器分类性能较好。

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Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.

决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。

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