메뉴 건너뛰기




Volumn , Issue , 2011, Pages 347-354

Clustering product features for opinion mining

Author keywords

Opinion mining; Product feature grouping

Indexed keywords

DISTRIBUTIONAL SIMILARITIES; EMPIRICAL EVALUATIONS; FEATURE GROUPS; OPINION MINING; PRODUCT FEATURE; PRODUCT REVIEWS; SEMI-SUPERVISED LEARNING; SENTIMENT ANALYSIS; STATE-OF-THE-ART METHODS;

EID: 79952430557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935884     Document Type: Conference Paper
Times cited : (180)

References (43)
  • 3
    • 71149108475 scopus 로고    scopus 로고
    • Incorporating domain knowledge into topic modeling via Dirichlet forest priors
    • Andrzejewski D, Zhu X, and Craven M. Incorporating domain knowledge into topic modeling via Dirichlet forest priors, in Proceedings of ICML. 2009. 25-32
    • (2009) Proceedings of ICML , pp. 25-32
    • Andrzejewski, D.1    Zhu, X.2    Craven, M.3
  • 6
  • 10
    • 84860518427 scopus 로고    scopus 로고
    • Novel association measures using web search with double checking
    • Chen H, Lin M, and Wei Y. Novel association measures using web search with double checking, in ACL. 2006. 1016
    • (2006) ACL , pp. 1016
    • Chen, H.1    Lin, M.2    Wei, Y.3
  • 12
    • 74549169938 scopus 로고    scopus 로고
    • Product feature categorization with multilevel latent semantic association
    • Guo H, Zhu H, Guo Z, Zhang X, and Su Z. Product feature categorization with multilevel latent semantic association, in Proceedings of CIKM. 2009. 1087-1096
    • (2009) Proceedings of CIKM , pp. 1087-1096
    • Guo, H.1    Zhu, H.2    Guo, Z.3    Zhang, X.4    Su, Z.5
  • 14
    • 12244305149 scopus 로고    scopus 로고
    • Mining and summarizing customer reviews
    • Hu M and Liu B. Mining and summarizing customer reviews, in Proceedings of SIGKDD. 2004. 168-177
    • (2004) Proceedings of SIGKDD , pp. 168-177
    • Hu, M.1    Liu, B.2
  • 15
    • 80053374765 scopus 로고    scopus 로고
    • Lexical semantic relatedness with random graph walks
    • Hughes T and Ramage D. Lexical semantic relatedness with random graph walks, in EMNLP. 2007. 581-589
    • (2007) EMNLP , pp. 581-589
    • Hughes, T.1    Ramage, D.2
  • 17
    • 70350657117 scopus 로고    scopus 로고
    • OpinionMiner: A novel machine learning system for web opinion mining and extraction
    • Jin W, Ho H, and Srihari R. OpinionMiner: a novel machine learning system for web opinion mining and extraction, in Proceedings of KDD. 2009. 1195-1204
    • (2009) Proceedings of KDD , pp. 1195-1204
    • Jin, W.1    Ho, H.2    Srihari, R.3
  • 18
    • 46749083203 scopus 로고    scopus 로고
    • Extracting opinions, opinion holders, and topics expressed in online news media text
    • Kim S and Hovy E. Extracting opinions, opinion holders, and topics expressed in online news media text, in Proceedings of EMNLP. 2006.1065-1074
    • (2006) Proceedings of EMNLP , pp. 1065-1074
    • Kim, S.1    Hovy, E.2
  • 19
    • 80053373055 scopus 로고    scopus 로고
    • Extracting aspectevaluation and aspect-of relations in opinion mining
    • Kobayashi N, Inui K, and Matsumoto Y. Extracting aspectevaluation and aspect-of relations in opinion mining, in Proceedings of EMNLP. 2007. 1065-1074
    • (2007) Proceedings of EMNLP , pp. 1065-1074
    • Kobayashi, N.1    Inui, K.2    Matsumoto, Y.3
  • 21
    • 85149114506 scopus 로고    scopus 로고
    • Measures of distributional similarity
    • Lee L. Measures of distributional similarity. 1999: Proceedings of ACL. 25-32
    • (1999) Proceedings of ACL. , pp. 25-32
    • Lee, L.1
  • 22
    • 85143523004 scopus 로고    scopus 로고
    • Automatic retrieval and clustering of similar words
    • Lin D. Automatic retrieval and clustering of similar words. 1998: Proceedings of ACL. 768-774
    • (1998) Proceedings of ACL. , pp. 768-774
    • Lin, D.1
  • 23
    • 0005180705 scopus 로고    scopus 로고
    • An information-theoretic definition of similarity
    • Lin D. An information-theoretic definition of similarity, in Proceedings of ICML. 1998. 296-304
    • (1998) Proceedings of ICML , pp. 296-304
    • Lin, D.1
  • 24
    • 85185398851 scopus 로고    scopus 로고
    • Phrase clustering for discriminative learning
    • Lin D and Wu X. Phrase clustering for discriminative learning, in Proceedings of ACL. 2009. 1030-1038
    • (2009) Proceedings of ACL , pp. 1030-1038
    • Lin, D.1    Wu, X.2
  • 26
    • 33746036191 scopus 로고    scopus 로고
    • Opinion observer: Analyzing and comparing opinions on the web
    • Liu B, Hu M, and Cheng J. Opinion Observer: Analyzing and Comparing Opinions on the Web. in Proceedings of WWW. 2005. 342-351
    • (2005) Proceedings of WWW , pp. 342-351
    • Liu, B.1    Hu, M.2    Cheng, J.3
  • 29
    • 35348882767 scopus 로고    scopus 로고
    • Topic sentiment mixture: Modeling facets and opinions in weblogs
    • Mei Q, Ling X, Wondra M, Su H, and Zhai C. Topic sentiment mixture: Modeling facets and opinions in weblogs. in Proceedings of WWW. 2007. 171-180
    • (2007) Proceedings of WWW , pp. 171-180
    • Mei, Q.1    Ling, X.2    Wondra, M.3    Su, H.4    Zhai, C.5
  • 30
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • Nigam K, McCallum A, Thrun S, and Mitchell T, Text classification from labeled and unlabeled documents using EM. Machine Learning, 2000. 39 (2): 103-134. (Pubitemid 30594822)
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 103-134
    • Nigam, K.1    Mccallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 33
    • 84858422324 scopus 로고    scopus 로고
    • Information content measures of semantic similarity perform better without sense-tagged text
    • Pedersen T. Information Content Measures of Semantic Similarity Perform Better Without Sense-Tagged Text, in Proceedings of NAACL HLT. 2010
    • (2010) Proceedings of NAACL HLT
    • Pedersen, T.1
  • 34
    • 85123966307 scopus 로고
    • Distributional clustering of English words
    • Pereira F, Tishby N, and Lee L. Distributional clustering of English words, in Proceedings of ACL. 1993. 183-190
    • (1993) Proceedings of ACL , pp. 183-190
    • Pereira, F.1    Tishby, N.2    Lee, L.3
  • 35
    • 80053270803 scopus 로고    scopus 로고
    • Extracting product features and opinions from reviews
    • Popescu A-M and Etzioni O. Extracting Product Features and Opinions from Reviews, in EMNLP. 2005. 339-346
    • (2005) EMNLP , pp. 339-346
    • Popescu, A.-M.1    Etzioni, O.2
  • 36
    • 0003033112 scopus 로고
    • Using information content to evaluate semantic similarity in a taxonomy
    • Resnik P. Using information content to evaluate semantic similarity in a taxonomy, in IJCAI. 1995. 448-453
    • (1995) IJCAI , pp. 448-453
    • Resnik, P.1
  • 37
    • 34250638291 scopus 로고    scopus 로고
    • A web-based kernel function for measuring the similarity of short text snippets
    • DOI 10.1145/1135777.1135834, Proceedings of the 15th International Conference on World Wide Web
    • Sahami M and Heilman T. A web-based kernel function for measuring the similarity of short text snippets, in Proceedings of WWW. 2006. 377-386 (Pubitemid 46946630)
    • (2006) Proceedings of the 15th International Conference on World Wide Web , pp. 377-386
    • Sahami, M.1    Heilman, T.D.2
  • 38
    • 80053408178 scopus 로고    scopus 로고
    • Topic identification for finegrained opinion analysis
    • Stoyanov V and Cardie C. Topic identification for finegrained opinion analysis, in COLING. 2008. 817-824
    • (2008) COLING , pp. 817-824
    • Stoyanov, V.1    Cardie, C.2
  • 39
    • 77049096298 scopus 로고    scopus 로고
    • Using pointwise mutual information to identify implicit features in customer reviews
    • Su Q, Xiang K, Wang H, Sun B, and Yu S. Using pointwise mutual information to identify implicit features in customer reviews, in ICCPOL. 2006. 22-30
    • (2006) ICCPOL , pp. 22-30
    • Su, Q.1    Xiang, K.2    Wang, H.3    Sun, B.4    Yu, S.5
  • 40
    • 57349120510 scopus 로고    scopus 로고
    • Modeling online reviews with multi-grain topic models
    • Titov I and McDonald R. Modeling online reviews with multi-grain topic models, in WWW. 2008. 111-120
    • (2008) WWW , pp. 111-120
    • Titov, I.1    McDonald, R.2
  • 43
    • 80052309987 scopus 로고    scopus 로고
    • Grouping product features using semi-supervised learning with soft-constraints
    • Zhai Z, Liu B, Xu H, and Jia P, Grouping Product Features Using Semi-supervised Learning with Soft-Constraints, in Proceedings of COLING. 2010.
    • (2010) Proceedings of COLING
    • Zhai, Z.1    Liu, B.2    Xu, H.3    Jia, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.