Sentiment analysis for Chinese microblog based on deep neural networks with convolutional extension features-Reference-Cited by-同舟云学术

Sentiment analysis for Chinese microblog based on deep neural networks with convolutional extension features

Published:2016-10 Issue: Volume:210 Page:227-236
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Sun Xiao,Li Chengcheng,Ren Fuji

Funder

National Natural Science Funds for Distinguished Young Scholar

Natural Science Foundation of Anhui Province

State Key Program of National Natural Science of China

JSPS KAKENHI

Open Project Program of the National Laboratory of Pattern Recognition

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

1. Guohong Fu, Xin Wang, Chinese sentence-level sentiment classification based on fuzzy sets, in: Coling 2010, Beijing, August 2010 Poster Volume, 2010, pp. 312–319.

2. Fuzzy support vector machines;Lin;IEEE Trans. Neural Netw.,2002

3. Learning algorithms for the classification restricted Boltzmann machine;Larochelle;J. Mach. Learn. Res.,2012

4. A. Agarwal, B. Xie, I. Vovsha, O. Rambow, R. Passonneau, Sentiment analysis of twitter data, in: Proceedings of ACL 2011 Workshop on Languages in Social Media, 2011, pp. 30–38.

5. Chinese relation extraction based on deep belief nests;Chen;J. Softw.,2012

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Public Opinion Evolution Law and Sentiment Analysis of Campus Online Public Opinion Events;Journal of Advanced Computational Intelligence and Intelligent Informatics;2024-07-20

2. An Ensemble Approach to Enhance the Efficacy of Sentiment Prediction;International Journal of Computer Theory and Engineering;2024

3. Forecasting power demand in China with a CNN-LSTM model including multimodal information;Energy;2023-01

4. Sentimental Analysis Using Deep Learning Techniques;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

5. Deep learning‐based smishing message identification using regular expression feature generation;Expert Systems;2022-10-05