@inproceedings{6711e25b9b064ae69451e18cb0eb13a4,
title = "Tb-CNN: Joint tree-bank information for sentiment analysis using CNN",
abstract = "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.",
keywords = "Sentiment analysis, structure information, Tb-CNN",
author = "Tao Yang and Yang Li and Quan Pan and Lantian Guo",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7554468",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "7042--7044",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
}