... Text Object Model 文本对象模型 Text Categorization Model 文本分类模型 text probability model 文本概率模型 ...
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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。
参考来源 - 基于树桩网络的贝叶斯文本分类算法·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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