Computer Science ›› 2017, Vol. 44 ›› Issue (12): 227-231.doi: 10.11896/j.issn.1002-137X.2017.12.041
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JIANG Zong-li and WANG Yi-da
[1] BENGIO Y,DELALLEAU O.On the expressive power of deep architectures[C]∥International Conference on Discovery Science.Springer-Verlag,2011:1. [2] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNetclassification with deep convolutional neural networks[C]∥International Conference on Neural Information Processing Systems.Curran Associates Inc,2012:1097-1105. [3] DAHL G E,YU D,DENG L,et al.Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition[J].IEEE Transactions on Audio Speech & Language Processing,2012,0(1):30-42. [4] KARPATHY A,TODERICI G,SHETTY S,et al.Large-Scale Video Classification with Convolutional Neural Networks[C]∥IEEE Conference on Computer Vision and Pattern Recognition.IEEE,2014:1725-1732. [5] HINTON G E,OSINDERO S,TEH Y W.A fast learning algorithm for deep belief nets[J].Neural Computation,2006,8(7):1527-1554. [6] VINCENT P,LAROCHELLE H,BENGIO Y,et al.Extracting and composing robust features with denoising autoencoders[C]∥International Conference on Machine Learning.DBLP,2008:1096-1103. [7] CAO L L,HUANG W B,SUN F C.Building feature space of extreme learning machine with sparse denoising stacked-autoencoder[J].Neurocomputing,2016,4(PA):60-71. [8] RETRIEVAL F T I I.Opinion Mining and Sentiment Analysis[J].Foundations & Trends in Information Retrieval,2008,2(1):459-526. [9] PANG B,LEE L,VAITHYANATHAN S.Thumbs up?:sentiment classification using machine learning techniques[C]∥Conference on Empirical Methods in Natural Language Processing(Acl-02).Association for Computational Linguistics,2002:79-86. [10] STOJANOVSKI D,STREZOSKI G,MADJAROV G,et al.Twitter Sentiment Analysis Using Deep Convolutional Neural Network[C]∥Hais.2015:726-737. [11] LIU F L,YANG L,ZHANG S W,et al.Convolutional Neural Networks for Chinese Micro-blog Sentiment Analysis [J].Journal of Chinese Information Processing,2015,9(6):159-165.(in Chinese) 刘龙飞,杨亮,张绍武,等.基于卷积神经网络的微博情感倾向性分析[J].中文信息学报,2015,9(6):159-165. [12] GLOROT X,BORDES A,BENGIO Y.Domain adaptation for large-scale sentiment classification:A deep learning approach[C]∥ International Conference on Machine Learning.Omnipress,2011:513-520. [13] LIANG J,CHAI Y M,YUAN H B,et al.Deep Learning for Chinese Micro-blog Sentiment Analysis[J].Journal of Chinese Information Processing,2014,8(5):155-161.(in Chinese) 梁军,柴玉梅,原慧斌,等.基于深度学习的微博情感分析[J].中文信息学报,2014,8(5):155-161. |
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