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面向产品评论的意见挖掘研究综述

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面向产品评论的意见挖掘研究综述

作者:李俊, LI Jun

作者单位:四川大学计算机学院,成都,610065

刊名:

现代计算机(专业版)

英文刊名:Modern Computer

年,卷(期):2013(5)

参考文献(35条)

1.YY Zhao;B Qin;T Liu Sentiment Analysis 2010(08)

2.B.Liu;L.Zhang A Survey of Opinion Mining and Sentiment Analysis 2012

3.B.Pang;L.Lee Opinion Mining and Sentiment Analysis 2008(1-2)

4.Huang XJ;Zhang Q;Wu YB A Survey on Sentiment Analysis 2011

5.N.Kobayashi;K.Inui;Y.Matsumoto;K.Tateishi,T.Fukushima Collecting Evaluative Expressions for Opinion Extraction 2005

6.M.Hu;B.Liu Mining Opinion Features in Customer Reviews 2004

7.Popescu,A;O.Etzioni Extracting Product Features and Opinions from Reviews 2005

8.O.Etzioni;M.Cafarella;D.Downey;S.Kok,A.Popescu,T.Shaked,S.Soderland,D.Weld,A.Yates Un-Supervised Named-Entity Extraction from the Web:An Experimental Study 2005

9.Y.Zhao;B.Qin;S.Hu Generalizing Syntactic Structures for Product Attribute Candidate Extraction 2010

10.Blei,D;A.Ng;M.Jordan Latent Dirichlet Allocation 2003

11.Ivan Titov;Ryan McDonald Modeling Online Reviews with Multi-Grain Topic Models 2008

12.Yohan Jo;Alice Oh Aspect and Sentiment Unification Modelfor Online Review Analysis 2011

13.Qiu,G;B.Liu;J.Bu;C.Chen Opinion Word Expansion and Target Extraction Through Double Propagation 2011

14.B.Pang;L.Lee A Sentimental Education:Sentiment Analysis using Subjectivity Summarization Based on Mini mumcuts 2004

15.SM.Kim;E.Hovy Automatic Detection of Opinion Bearing Words and Sentences 2005

16.V.Hatzivassiloglou;J.Wiebe Effects of Adjective Orientation and Gradability on Sentence Subjectivity 2000

17.JM.Wiebe;RF.Bruce;TP.O'Hara Development and use of a Gold-Standard Data set for Subjectivity Classifcations 1999

18.X.Wang;GH.Fu Chinese Subjectivity Detection Using a Sentiment Density-Based Naive Bayesian Classifier 2010

19.L.Jiang;M.Yu;M.Zhou;X.Liu,T.Zhao Target-Dependent Twitter Sentiment Classification 2011

20.D.Wang;Y.Liu A Cross-Corpus Study of Unsupervised Subjectivity Identification Based on Calibrated EM

21.B Pang;L.Lee;S.Vaithyanathan Thumbs up? Sentiment Classification Using Machine Learning Techniques 2002

22.H.Cui;VO.Mittal;M.Datar Comparative Experiments on Sentiment Classification for Online Product Reviews 2006

23.L.Qiu;W.Zhang;C.Hu;K.Zhao SELC:A Self-Supervised Model for Sentiment Classification 2009

24.S.Tan;Y.Wang;X.Cheng Combining Learn-Based and Lexicon-Based Techniques for Sentiment Detection without using Labeled Examples 2008

25.Danushka Bollegala;David Weir;John Carroll Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification

26.Sheng Gao;Haizhou Li A Cross-Domain Adaptation Method for Sentiment Classification using Probabilistic Latent Analysis

27.M.Hu;B.Liu Mining and Summarizing Customer Reviews 2004

28.B.Liu;M.Hu;J.Cheng Opinion Observer:Analyzing and Comparing Opinions on the Web 2005

29.I.Titov;R.McDonald A Joint Model of Text and Aspect Ratings for Sentiment Summarization 2008

30.S.Branavan;H.Chen;J.Eisenstein Learning DocumentLevel Semantic Properties from Free-Text Annotations 2009

31.M.Ganapathibhotla;B.Liu Mining Opinions in Comparative Sentences 2008

32.N.Jindal;B.Liu Mining Comparative Sentences and Relations 2006

33.N.Jindal;B.Liu;E.Lim Finding Unusual Review Patterns using Unexpected Rules 2010

34.Panayiotis Tsaparas;Alexandros Ntoulas;Evimaria Terzi Selecting a Comprehensive Set of Reviews 2011

35.Theodoros Lappas;Evimaria Terzi Toward a Fair ReviewManagement System 2011

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