关键词: 情感倾向性分析, 双向简单循环单元, 逐点卷积神经网络, 混合神经网络

Abstract: In view of the classification of emotional tendency in the short text comments on consumption, a BSP-CNN hybrid neural network model is proposed. The model first uses the Bidirectional Simple Recurrent Unit（BiSRU） to characterize the data, then uses Point-by-point Convolutional Neural Network（P-CNN） to further learn semantic features and output the results of emotional tendency classification. Experimental results show that compared with traditional Long Short-Term Memory neural networks（LSTM） and Convolutional Neural Networks（CNN）, the BSP-CNN hybrid neural network model effectively simplifies calculation, shortens the running time, and obtains higher F1 socre on data sets of different sizes and text lengths.

Key words: sentiment orientation analysis, bidirectional simple recurrent unit, point-by-point convolutional neural network, hybrid neural network