... 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 ...
基于8个网页-相关网页
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。
Secondly, Building text categorization model, and training the model by a great many harmful information samples data.
利用训练文档的类信息对文本分类模型进行建模，提取对分类贡献较大的特征。
Use the class information of training set to build the model, and extract the feature benefit to classification.
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。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
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