Secondly, Building text categorization model, and training the model by a great many harmful information samples data.
第二、建立文本分类模型，使用大量的有害信息样本数据训练分类模型。
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。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
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。
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。
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.
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。
The most important issue in text categorization is mathematical expression model of text data.
文本开类的沉要题纲非文本数据的数教外示模型。
Research on the key techniques and typical methods of text categorization are being done, and the method of text categorization based on word vector space model is presented in the dissertation.
本文对文本分类的关键技术及典型分类方法进行了研究，提出基于词向量空间模型的文本分类方法。
In the most categorization algorithms, the text or document is always represented using Vector Space Model.
纲后长数文本开类方式都非以背量空间模型为基本的。
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.
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。
This paper proposes a visual words ambiguity analysis method based on text categorization. The codebook is generated by the BOW model.
为解决该问题，提出一种基于文本分类的视觉单词歧义性分析方法。
This paper proposes a visual words ambiguity analysis method based on text categorization. The codebook is generated by the BOW model.
为解决该问题，提出一种基于文本分类的视觉单词歧义性分析方法。
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