Experiment shows that the revised text categorization model meets the need of text categorization, and improves the performance of former one.

实验证明，改进后的文本分类模型适合于文本分类的需要，改善了原有分类器的性能。

youdao

A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.

为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。

youdao

The experimental results show that the performance of text categorization model based on entropy is a relatively stable algorithm, and prove the effectiveness of the algorithm.

实验结果表明基于信息熵的文本分类模型是一种比较稳定的算法，证明了算法的有效性。

youdao

The experimental results show that the performance of text categorization model based on entropy is a relatively stable algorithm, and prove the effectiveness of the algorithm.

实验结果表明基于信息熵的文本分类模型是一种比较稳定的算法，证明了算法的有效性。

youdao