[1]PANG B,LEE L.Seeing stars:exploiting class relationships for sentiment categorization with respect to rating scales[C]//Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics.New York,USA:ACM Press,2005:115-124.
[2]韦航,王永恒.基于主题的中文微博情感分析[J].计算机工程,2015,41(9):238-244.
[3]CUN L,BOTTOU L,BENGIO Y,et al.Gradient-based learning applied to document recognition[J].Proceedings of the IEEE,1998,86(11):2278-2324.
[4]KRIZHEVSKY A,SUTSKEVER I,HINTON G.ImageNet classification with deep convolutional neural networks[C]//Proceedings of International Conference on Neural Information Processing Systems.[S.l.]:Curran Associates,Inc.,2012:1097-1105.
[5]GRAVES A,MOHAMED A,HINTON G.Speech recognition with deep recurrent neural networks[C]//Proceedings of 2013 IEEE International Conference on Acoustics,Speech and Signal Processing.Washington D.C.,USA:IEEE Press,2013:6645-6649.
[6]MIKOLOV T,SUTSKEVER I,CHEN K,et al.Distributed representations of words and phrases and their compositionality[C]//Proceedings of the 26th International Conference on Neural Information Processing Systems.[S.l.]:Curran Associates,Inc.,2013:3111-3119.
[7]YIH W T,HE X,MEEK C.Semantic parsing for single-relation question answering[EB/OL].[2017-02-25].https://www.microsoft.com/en-us/research/wp-content/up loads/2016/02/SingleRelationQA-YihHeMeek-ACL14.pdf.
[8]SHEN Y,HE X,GAO J,et al.Learning semantic representations using convolutional neural networks for Web search[C]//Proceedings of the 23rd International Conference on World Wide Web.New York,USA:ACM Press,2014:373-374.
[9]KALCHBRENNER N,GREFENSTETTE E,BLUNSOM P.A convolutional neural network for modelling sentences[EB/OL].[2017-02-26].http://aclweb.org/anthology/P14-1062.
[10]SOCHER R,PERELYGIN A,WU J Y,et al.Recursive deep models for semantic compositionality over a sentiment treebank[EB/OL].[2017-02-15].https://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf.
[11]DONG L,WEI F,TAN C,et al.Adaptive recursive neural network for target-dependent twitter sentiment Classification[EB/OL].[2017-02-20].http://acl2014.org/acl2014/P14-2/pdf/P14-2009.pdf.
[12]DONG L,WEI F,ZHOU M,et al.Adaptive multi-compositionality for recursive neural models with applications to sentiment analysis[C]//Proceedings of the 28th AAAI Conference on Artificial Intelligence.Menlo Park,USA:AAAI Press,2014:1537-1543.
[13]KOLEN J,KREMER S.Gradient flow in recurrent nets:the difficulty of learning long term dependencies[M].Washington D.C.,USA:Wiley-IEEE Press,2001:237-243.
[14]SANTOS C N D,GATTI M.Deep convolutional neural networks for sentiment analysis of short texts[EB/OL].[2017-02-10].http://www.aclweb.org/anthology/C14-1008.
[15]KIM Y.Convolutional neural networks for sentence classification[EB/OL].[2017-02-15].http://aclweb.org/anthology/D14-1181.
[16]何炎祥,孙松涛,牛菲菲,等.用于微博情感分析的一种情感语义增强的深度学习模型[J].计算机学报,2016,39(4):1-19.
[17]CHEN Peng,XU Bing,YANG Muyun,et al.Clause sentiment identification based on convolutional neural network with context embedding[C]//Proceedings of the 12th International Conference on Natural Com-putation,Fuzzy Systems and Knowledge Discovery.Washington D.C.,USA:IEEE Press,2016:1532-1538.
[18]COLLOBERT R,WESTON J,BOTTOU L,et al.Natural language processing (almost) from scratch[J].Journal of Machine Learning Research,2011,12(1):2493-2537.
[19]HINTON G E,SRIVASTAVA N,KRIZHEVSKY A,et al.Improving neural networks by preventing co-adaptation of feature detectors[J].Computer Science,2012,3(4):212-223.
[20]ZEILER M D.Adadelta:an adaptive learning rate method[J].Computer Science,2012,3(4):325-330.
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