计算机科学 ›› 2016, Vol. 43 ›› Issue (8): 273-276.doi: 10.11896/j.issn.1002-137X.2016.08.055
孙劲光,全纹敬
SUN Jin-guang and QUAN Wen-jing
摘要： 对文本的特征提取方法以及深度神经网络的分类器的搭建进行研究。首先,在全局和局部的特征提取方法的基础上,通过对文本特征内耦合关系和文本特征间耦合关系进行分析,确定用于分类的文本特征,建立文本特征的耦合关系模型；其次, 将文本特征 作为深度神经网络输入层进行分类；最后,通过逐层无监督的方式对网络进行训练,在顶层增加区分性结点来实现文本分类功能。
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