TY - GEN
T1 - Deep neural network for short-text sentiment classification
AU - Li, Xiangsheng
AU - Pang, Jianhui
AU - Mo, Biyun
AU - Rao, Yanghui
AU - Wang, Fu Lee
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - As a concise medium to describe events, short text plays an important role to convey the opinions of users. The classification of user emotions based on short text has been a significant topic in social network analysis. Neural Network can obtain good classification performance with high generalization ability. However, conventional neural networks only use a simple back-propagation algorithm to estimate the parameters, which may introduce large instabilities when training deep neural networks by random initializations. In this paper, we apply a pre-training method to deep neural networks based on restricted Boltzmann machines, which aims to gain competitive and stable classification performance of user emotions over short text. Experimental evaluations using real-world datasets validate the effectiveness of our model on the short-text sentiment classification task.
AB - As a concise medium to describe events, short text plays an important role to convey the opinions of users. The classification of user emotions based on short text has been a significant topic in social network analysis. Neural Network can obtain good classification performance with high generalization ability. However, conventional neural networks only use a simple back-propagation algorithm to estimate the parameters, which may introduce large instabilities when training deep neural networks by random initializations. In this paper, we apply a pre-training method to deep neural networks based on restricted Boltzmann machines, which aims to gain competitive and stable classification performance of user emotions over short text. Experimental evaluations using real-world datasets validate the effectiveness of our model on the short-text sentiment classification task.
KW - Neural network
KW - Pre-training
KW - Restricted Boltzmann machine
KW - Short-text sentiment classification
UR - http://www.scopus.com/inward/record.url?scp=84964050208&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-32055-7_15
DO - 10.1007/978-3-319-32055-7_15
M3 - Conference contribution
AN - SCOPUS:84964050208
SN - 9783319320540
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 168
EP - 175
BT - Database Systems for Advanced Applications - DASFAA 2016 International Workshops
A2 - Kim, Jinho
A2 - Gao, Hong
A2 - Sakurai, Yasushi
T2 - International Workshop on Database Systems for Advanced Applications, DASFAA 2016
Y2 - 16 April 2016 through 19 April 2016
ER -