Tb-CNN: Joint tree-bank information for sentiment analysis using CNN
Tao Yang, Yang Li, Quan Pan, Lantian Guo · 2016
Sentiment analysis still is a problem in text data analysis. In this paper, the proposed model which fuses the convolution neural network with the tree bank information has been introduced. This model not only takes into consideration of the syntax information, but also the structure information which is better than other single factor model. By a sequence of experiments, we can prove the goodness of this model in sentiment analysis.