%0 Journal Article
%T 结合RNN和CNN层次化网络的中文文本情感分类<br>Chinese Text Sentiment Classification by H-RNN-CNN
%A 罗帆
%A 王厚峰
%J 北京大学学报（自然科学版）
%D 2018
%R 10.13209/j.0479-8023.2017.168
%X 摘要 中文情感分类; 深度学习; 卷积神经网络; 循环神经网络<br>Abstract The authors present a hierarchical neural network H-RNN-CNN as a general model to represent text in sentiment analysis. Firstly, since information may lose in long text, the authors divide the text by sentence and use them as middle layer. Secondly, recurrent neural network is used to process sequence and relationship across sentences is captured by convolutional neural network. Moreover, the effectiveness of the variants of recurrent neural network and the pre-trained embedding are discussed. Experiment results demonstrate that the approach works well on several datasets.
%K sentiment classification
%K deep learning
%K convolutional neural network
%K recurrent neural network
%U http://xbna.pku.edu.cn/CN/abstract/abstract3210.shtml