关键词: 情感分类, 深度学习, 词向量, 卷积神经网络

Abstract: A method of sentiment classification based on convolutional neural networks for Chinese comments, which is expressed by pre-train word vectors, is presented. Classic convolutional neural networks is stacked by convolutional layers, pooling layers and fully connected layer. An improved convolutional neural networks in which a cascade cross channel convolutional layer replaces the traditional linear convolutional filter is proposed to improve and enhance the generalization of the network. The experimental results show that the improved convolutional neural networks achieves better performance with the recognition rate of 91.89% and an acceptable training speed, superior to basic convolutional neural networks.

Key words: sentiment classification, deep learning, word embedding, convolutional neural networks