基于层次注意力模型的文本分类研究分析 计算机科学与技术专业VIP免费

目录前言···················································································1第一章绪论·········································································21.1研究背景及意义·····························································21.2文本分类概述································································41.3本文的主要工作及创新点·················································61.4本文的组织结构·····························································6第二章文本分类技术································································82.1文本分类系统的主要结构·················································82.1.1预处理································································82.1.2文本表示·····························································82.1.3分类器································································92.2文本分类的主要技术·······················································92.2.1基于线性方法的文本分类技术··································92.2.2基于支持向量机的文本分类技术·····························102.2.3基于神经网络的文本分类技术································112.3文本分类技术对比分析··················································132.3.1对比数据集························································132.3.2数据对比与分析··················································14第三章基于层次注意力模型的文本分类······································163.1概述··········································································163.2文本表示模型······························································183.2.1基于门式循环单元的序列编码器·····························183.2.2层次注意力网络··················································193.3分类器模型·································································223.4实验··········································································223.4.1数据集··············...