Computer Science ›› 2017, Vol. 44 ›› Issue (10): 283-288.doi: 10.11896/j.issn.1002-137X.2017.10.051
Previous Articles Next Articles
DU Yong-ping, CHEN Shou-qin and ZHAO Xiao-zheng
[1] ZHANG C G,LIU P Y,ZHU Z F,et al.A sentiment analysis method based on a polarity lexicon[J].Journal of Shandong University(Natural Science),2012,47(3):47-50.(in Chinese) 张成功,刘培玉,朱振方,等.一种基于极性词典的情感分析方法[J].山东大学学报(理学版),2012,47(3):47-50. [2] PANG B,LEE L,VAITHYANATHAN S.Thumbs up? Sentiment classification using machine learning techniues[C]∥Proceedings of the Conference on Empirical Methods in Natural Language Processing(EMNLP).Philadelphia,PA,USA,2002:79-86. [3] SUN Y,ZHOU X G,FU W.Unsupervised Topic and Sentiment Unification Model for Sentiment Analysis[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2013,49(1):102-108.(in Chinese) 孙艳,周学广,付伟.基于主题情感混合模型的无监督文本情感分析[J].北京大学学报(自然科学版),2013,49(1):102-108. [4] MEI Q Z,LING X,WONDRA M,et al.Topic sentiment mixture:modeling facets and opinions in weblogs[C]∥International Conference on World Wide Web.2007:171-180. [5] YANG Z,LAI Y X,DUAN L J,et al.Short Text Sentiment Classification Based on Context Reconstruction[J].Acta Automatica Sinca,2012,38(1):55-67.(in Chinese) 杨震,赖英旭,段立娟,等.基于上下文重构的短文本情感极性判别研究[J].自动化学报,2012,38(1):55-67. [6] WANG M,LIN L F,WANG F.Short text expansion and classification based on pseudo-relevance feedback[J].Journal of Zhejiang University(Engineering Science),2014,48(10):1835-1842.(in Chinese) 王蒙,林兰芬,王锋.基于伪相关反馈的短文本扩展与分类[J].浙江大学学报(工学版),2014,48(10):1835-1842. [7] TURNEY P D.Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews[C]∥Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics.Philadelphia,PA,USA,2002:417-424. [8] HE T X,ZHANG H,LI B,et al.Sentiment classification combined with sentiment lexicon network for Chinese short texts[J].Application Research of Computers,2015,32(10):2905-2909.(in Chinese) 何天翔,张晖,李波,等.结合情感词网的中文短文本情感分类[J].计算机应用研究,2015,32(10):2905-2909. [9] HE F Y,HE Y X,LIU N,et al.A Microblog Short Text Oriented Multi-class Feature Extraction Method of Fine-Grained Sentiment Analysis[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2014,50(1):48-54.(in Chinese) 贺飞艳,何炎祥,刘楠,等.面向微博短文本的细粒度情感特征抽取方法[J].北京大学学报(自然科学版),2014,50(1):48-54. [10] XIA M N,DU Y P,ZUO B X.Micro-blog opinion analysis based on syntactic dependency and feature combination[J].Journal of Shandong University (Natural Science),2014,49(11):22-30.(in Chinese) 夏梦南,杜永萍,左本欣.基于依存分析与特征组合的微博情感分析[J].山东大学学报(理学版),2014,49(11):22-30. [11] HE Y X,LIU J B,SUN S T,et al.Product reviews sentiment classification in Micro-blog based on cascaded conditional random field[J].Journal of Shandong University (Natural Science),2015,0(11):67-73.(in Chinese) 何炎祥,刘健博,孙松涛,等.基于层叠条件随机场的微博商品评论情感分类[J].山东大学学报(理学版),2015,50(11):67-73. [12] RAO Y H,XIE H R,LI J,et al.Social emotion classification of short text via topic-level maximum entropy model[J].Information & Management,2016,53(8):978-986. [13] ODBAL,WANG Z F.Emotion Analysis Model Using Compositional Semantics[J].Acta Automatica Sinica,2015,41(12):2125-2137. [14] WANG X R,ZHANG Q H.Text Emotion CassificationResearch Based on Improved Latent Semantic Analysis Algorithm[C]∥Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering.Hangzhou,China,2013:210-213. [15] ZHANG J M,WANG B,TANG H H,et al.Unsupervised Sentiment Orientation Analysis on Micro-blog Based on Biterm Topic Model[J].Computer Engineering,2015,41(7):219-223.(in Chinese) 张佳明,王波,唐浩浩,等.基于Biterm主题模型的无监督微博情感倾向性分析[J].计算机工程,2015,41(7):219-223. [16] SU Y,JU S F,WANG Z Q,et al.Semi-supervised Sentiment Classification with Random Feature Subspace Method[J].Journal of Chinese Information Processing,2012,26(4):85-90.(in Chinese) 苏艳,居胜峰,王中卿,等.基于随机特征子空间的半监督情感分类方法研究[J].中文信息学报,2012,26(4):85-90. [17] Google开源深度学习工具Wordvec.https://code.google.com/p/word2vec. [18] 搜狗实验室全网新闻数据(SogouCA).http://download.labs.sogou.com/dl/ca.html. [19] HINTON G E,OSINDERO S,THE Y W.A Fast Learning Algorithm for Deep Belief Nets[J].Neural Computation,2006,18(7):1527-1554. |
No related articles found! |
|