[1] Jiang L,Yu M,Zhou M,et al.Target-dependent Twitter sentiment classification[C]//Proceedings of Meeting of the Association for Computational Linguistics,2011:151-160.

[2] 赵妍妍,秦兵,刘挺.文本情感分析[J].软件学报,2010,21(8):1834-1848.

[3] Aman S,Szpakowicz S.Identifying expressions of emotion in text[M].Text,Speech and Dialogue.Springer,Berlin Heidelberg,2007:196-205.

[4] 王中卿,李寿山,朱巧明,等.基于不平衡数据的中文情感分类[C].中国计算语言学研究前沿进展,2011:33-37.

[5] Hochreiter S,Schmidhuber J.Flat minima.[J].Neural Computation,1997,9(1):1-42.

[6] Strapparava C,Mihalcea R.Learning to identify emotions in text[J].Unt Scholarly Works,2008,43(3):254-255.

[7] 姚源林,王树伟,徐睿峰,等.面向微博文本的情绪标注语料库构建[J].中文信息学报,2014,28(5):83-91.

[8] Li S,Huang L,Wang R,et al.Sentence-level emotion classification with label and context dependence[C]//Proceedings of ACL-15,2015:1045-1053.

[9] Rana R.Emotion classification from noisy speech—A deep learning approach[J],arXiv preprint arXiv:1603.05901,2016.

[10] 梁军,柴玉梅,原慧斌,等.基于极性转移和LSTM递归网络的情感分析[J].中文信息学报,2015,29(5):152-159.

[11] Yan Y,Liu Y,Shyu M L,et al.Utilizing concept correlations for effective imbalanced data classification[C]//Proceedings of IEEE International Conference on Information Reuse and Integration.IEEE,2014:561-568.

[12] Li S,Zhou G,Wang Z,et al.Imbalanced sentiment classification[C]//Proceedings of ACM Conference on Information and Knowledge Management,CIKM 2011,Glasgow,United Kingdom,October.2011:2469-2472.

[13] Graves A.Supervised sequence labelling with recurrent neural networks[J].Studies in Computational Intelligence,2012:385.

[14] Turian J,Ratinov L,Bengio Y.Word representations:a simple and general method for semi-supervised learning[C]//Proceedings of Meeting of the Association for Computational Linguistics.Association for Computational Linguistics,2010:780-781.