Computer Science ›› 2016, Vol. 43 ›› Issue (10): 206-210.doi: 10.11896/j.issn.1002-137X.2016.10.039
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WANG Jie, LI De-yu and WANG Su-ge
| [1] Lv Yun-yun,Li Yang,Wang Su-ge.A method for chinese opi-nion sentence identification based on the ensemble classifier with bootstrapping[J].Journal of Chinese Information Processing,2013,27(5):84-92(in Chinese) 吕云云,李旸,王素格.基于BootStrapping的集成分类器的中文观点句识别方法[J].中文信息学报,2013,27(5):84-92 [2] Tang Hui-feng,Tan Song-bo,Cheng Xue-qi.Research on sentiment classification of chinese review based on supervised machine learning techniques[J].Journal of Chinese Information Processing,2007,21(6):88-94(in Chinese)唐慧丰,谭松波,程学旗.基于监督学习的中文情感分类技术比较研究[J].中文信息学报,2007,21(6):88-94 [3] Pang B,Lee L,Vaithyanathan S.Thumbs up?:sentiment classification using machine learning techniques[C]∥Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10.Association for Computational Linguistics,2002:79-86 [4] Liu S M,Chen Jun-huan.A multi-label classification based approach for sentiment classification[J].Expert Systems with Applications,2015,42(3):1083-1093 [5] Li Dong,Wei Fu-ru,Liu Shu-jie,et al.A statistical parsing frame-work for sentiment classification[J].Computational Linguistics,2015,4(2):293-336 [6] Zhang Dong-wen,Xu Hua,Su Zeng-cai,et al.Chinese comments sentiment classification based on word2vec and SVM perf[J].Expert Systems with Applications,2015,42(4):1857-1863 [7] Chawla N V,Japkowicz N,Kotcz A.Editorial:Special issue on learning from imbalanced data sets[J].SIGKDD Explorations Newsletters,2004,6(1):1-6 [8] Wang Su-ge,Li De-yu,Zhao Li-dong,et al.Sample cutting method for imbalanced text sentiment classification based on BRC[J].Knowledge-Based Systems,2013,37:451-461 [9] Su Jin-shu,Zhang Bo-feng,Xu Xin.Advances in machine lear-ning based text categorization[J].Journal of Software,2006,17(9):1848-1859(in Chinese) 苏金树,张博锋,徐昕.基于机器学习的文本分类技术研究进展 [J].软件学报,2006,17(9):1848-1859 [10] Japkowicz N,Stephen S.The Class Imbalance Problem:A Systematic Study[J].Intelligent Data Analysis,2002,6(5):429-449 [11] Chandrashekar G,Sahin F.A survey on feature selection methods[J].Computers & Electrical Engineering,2014,40(1):16-28 [12] Kubat M,Matwin S.Addressing the curse of imbalanced trai-ning sets:one-sided selection[C]∥Proceedings of the 14th International Conference on Machine Learning.1997:179-186 [13] Wang B X,Japkowicz N.Imbalanced data set learning with synthetic samples[C]∥Proc.IRIS Machine Learning Workshop.2004:19 [14] Zhu Ming,Tao Xin-min.The SVM classifier for unbalanced data based on combination of RU-Undersample and SMOTE [J].Information Technology,2012,1:39-43 [15] Yan Jun,Liu Ning,Zhang Ben-yun,et al.OCFS:optimal orthogo-nal centroid feature selection for text categorization[C]∥Proceedings of the 28th Annual International ACM SIGIR Confe-rence on Research and Development in Information Retrieval.ACM,2005:122-129 [16] Wang Su-ge,Li De-yu,Song Xiao-lei,et al.A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification[J].Expert Systems with Applications,2011,38(7):8696-8702 [17] Dai Liu-ling,Huang He-yan,Chen Zhao-xiong.A comparativestudy on feature selection in Chinese text categorization [J].Journal of Chinese Information Processing,2004,18(1):26-32(in Chinese) 代六玲,黄河燕,陈肇雄.中文文本分类中特征抽取方法的比较研究[J].中文信息学报,2004,18(1):26-32 [18] Mladenic D,Grobelnik M.Feature selection for unbalanced class distribution and naive bayes[C]∥ICML.1999:258-267 [19] Wasikowski M,Chen Xue-wen.Combating the small sampleclass imbalance problem using feature selection[J].IEEE Tran-sactions on Knowledge and Data Engineering,2010,22(10):1388-1400 [20] Yin Liu-zhi,Ge Yong,Xiao Ke-li,et al.Feature selection forhigh-dimensional imbalanced data[J].Neurocomputing,2013,105:3-11 [21] Ren Yong-gong,Yang Rong-jie,Yin Ming-fei,et al.Information-gain-based text feature selection method[J].Computer Science,2012,39(11):127-130(in Chinese) 任永功,杨荣杰,尹明飞,等.基于信息增益的文本特征选择方法[J].计算机科学,2012,39(11):127-130 [22] Ogura H,Amano H,Kondo M.Comparison of metrics for feature selection in imbalanced text classification[J].Expert Systems with Applications,2011,38(5):4978-4989 [23] Zheng Zhao-hui,Wu Xiao-yun,Srihari R.Feature selection fortext categorization on imbalanced data[J].ACM SIGKDD Explorations Newsletter,2004,6(1):80-89 [24] Fan R E,Chen P H,Lin C J.Working set selection using second order information for training support vector machines[J].The Journal of Machine Learning Research,2005,6:1889-1918 [25] He Hai-bo,Garcia E.Learning from imbalanced data[J].IEEETransactions on Knowledge and Engineering,2009,21(9):1263-1284 |
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