메뉴 건너뛰기




Volumn , Issue , 2009, Pages 486-493

An iterative reinforcement approach for fine-grained opinion mining

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA MINING; EXTRACTION; INFORMATION THEORY; ITERATIVE METHODS; REINFORCEMENT; SEMANTICS; SENTIMENT ANALYSIS;

EID: 84155165978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1620754.1620825     Document Type: Conference Paper
Times cited : (19)

References (35)
  • 1
    • 84859923482 scopus 로고    scopus 로고
    • When specialists and generalists work together: Overcoming domain dependence in sentiment tagging
    • A. Andreevskaia, S. Bergler. When Specialists and Generalists Work Together: Overcoming Domain Dependence in Sentiment Tagging. ACL 2008.
    • ACL 2008
    • Andreevskaia, A.1    Bergler, S.2
  • 2
    • 33646760990 scopus 로고    scopus 로고
    • Evaluating wordnet-based measures of lexical semantic relatedness
    • A. Budanitsky and G. Hirst. Evaluating wordnetbased measures of lexical semantic relatedness. Computational Linguistics, 32(1):13-47, 2006. (Pubitemid 43764024)
    • (2006) Computational Linguistics , vol.32 , Issue.1 , pp. 13-47
    • Budanitsky, A.1    Hirst, G.2
  • 3
    • 84860509678 scopus 로고    scopus 로고
    • Sentiment polarity identification in financial news: A cohesion-based approach
    • A. Devitt, K. Ahmad. Sentiment Polarity Identification in Financial News: A Cohesion-based Approach. ACL 2007.
    • ACL 2007
    • Devitt, A.1    Ahmad, K.2
  • 4
    • 48549098162 scopus 로고    scopus 로고
    • A system for summarizing and visualizing arguments in subjective documents: Toward supporting decision making
    • A. Fujii and T. Ishikawa. A system for summarizing and visualizing arguments in subjective documents: Toward supporting decision making. The Workshop on Sentiment and Subjectivity in Text ACL2006. 2006.
    • (2006) The Workshop on Sentiment and Subjectivity in Text ACL2006
    • Fujii, A.1    Ishikawa, T.2
  • 5
    • 80053270803 scopus 로고    scopus 로고
    • Extracting product features and opinions from reviews
    • A. Popescu and O. Etzioni. Extracting product features and opinions from reviews. HLT-EMNLP 2005.
    • HLT-emnlp 2005
    • Popescu, A.1    Etzioni, O.2
  • 6
    • 33746036191 scopus 로고    scopus 로고
    • Opinion observer: Analyzing and comparing opinions on the web
    • B. Liu, M. Hu, and J. Cheng. Opinion observer: analyzing and comparing opinions on the web. WWW 2005.
    • WWW 2005
    • Liu, B.1    Hu, M.2    Cheng, J.3
  • 7
    • 84859895244 scopus 로고    scopus 로고
    • Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
    • B. Pang and L. Lee. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. ACL 2005.
    • ACL 2005
    • Pang, B.1    Lee, L.2
  • 8
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • B. Pang, L. Lee, and S. Vaithyanathan. Thumbs up? Sentiment classification using machine learning techniques. EMNLP 2002.
    • EMNLP 2002
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 10
    • 85056211081 scopus 로고    scopus 로고
    • Bootstrapping both product features and opinion words from Chinese customer reviews with cross-inducing
    • B. Wang, H. Wang. Bootstrapping Both Product Features and Opinion Words from Chinese Customer Reviews with Cross-Inducing. IJCNLP 2008.
    • IJCNLP 2008
    • Wang, B.1    Wang, H.2
  • 11
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • D. Kushal, S. Lawrence, and D. Pennock. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. WWW 2003.
    • WWW 2003
    • Kushal, D.1    Lawrence, S.2    Pennock, D.3
  • 12
    • 80053381476 scopus 로고    scopus 로고
    • Fully automatic lexicon expansion for domain-oriented sentiment analysis
    • H. Kanayama, T. Nasukawa. Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis. EMNLP 2006
    • EMNLP 2006
    • Kanayama, H.1    Nasukawa, T.2
  • 13
    • 84858422719 scopus 로고    scopus 로고
    • Extracting semantic orientations of phrases from dictionary
    • H. Takamura, T. Inui. Extracting Semantic Orientations of Phrases from Dictionary. NAACL-HLT 2007.
    • NAACL-hlt 2007
    • Takamura, H.1    Inui, T.2
  • 14
    • 57349120510 scopus 로고    scopus 로고
    • Modeling online reviews with multi-grain topic models
    • I. Titov, R. McDonald. Modeling online reviews with multi-grain topic models. WWW 2008.
    • WWW 2008
    • Titov, I.1    McDonald, R.2
  • 15
    • 33747154397 scopus 로고    scopus 로고
    • Opinion extraction, summarization and tracking in news and blog corpora
    • L. Ku, Y. Liang and H. Chen. Opinion Extraction, Summarization and Tracking in News and Blog Corpora. AAAI-CAAW 2006.
    • AAAI-caaw 2006
    • Ku, L.1    Liang, Y.2    Chen, H.3
  • 16
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • J. Blitzer, M. Dredze, F. Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. ACL 2007.
    • ACL 2007
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 17
    • 0025952277 scopus 로고
    • Divergence measures based on the shannon entropy
    • J. Lin. Divergence Measures Based on the Shannon Entropy. IEEE Transactions on Information theory, 37(1):145-151, 1991.
    • (1991) IEEE Transactions on Information Theory , vol.37 , Issue.1 , pp. 145-151
    • Lin, J.1
  • 19
    • 12244305149 scopus 로고    scopus 로고
    • Mining and summarizing customer reviews
    • M. Hu and B. Liu. Mining and summarizing customer reviews. KDD 2004.
    • KDD 2004
    • Hu, M.1    Liu, B.2
  • 20
    • 33746035050 scopus 로고    scopus 로고
    • Mining opinion features in customer reviews
    • M. Hu and B. Liu. Mining opinion features in customer reviews. AAAI 2004.
    • AAAI 2004
    • Hu, M.1    Liu, B.2
  • 21
    • 84899004693 scopus 로고    scopus 로고
    • Agglomerative information bottleneck
    • N. Slonim, N. Tishby. Agglomerative information bottleneck. NIPS 1999.
    • NIPS 1999
    • Slonim, N.1    Tishby, N.2
  • 22
    • 0002096830 scopus 로고    scopus 로고
    • Document clustering using word clusters via the information bottleneck method
    • N. Slonim and N. Tishby. Document Clustering Using word Clusters via the Information Bottleneck Method. SIGIR 2000.
    • SIGIR 2000
    • Slonim, N.1    Tishby, N.2
  • 23
    • 9444227939 scopus 로고    scopus 로고
    • The power of word clusters for text classification
    • N. Slonim and N. Tishby. The power of word clusters for text classification. ECIR 2001.
    • ECIR 2001
    • Slonim, N.1    Tishby, N.2
  • 25
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
    • P. Turney. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. ACL 2002.
    • ACL 2002
    • Turney, P.1
  • 26
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • P. Turney and M. Littman. Measuring Praise and Criticism: Inference of Semantic Orientation from Association. ACM Transactions on Information Systems, 2003, 21(4): 315-346.
    • (2003) ACM Transactions on Information Systems , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.1    Littman, M.2
  • 28
    • 63449125029 scopus 로고    scopus 로고
    • A novel scheme for domain-transfer problem in the context of sentiment analysis
    • S. Tan, G. Wu, H. Tang and X. Cheng. A novel scheme for domain-transfer problem in the context of sentiment analysis. CIKM 2007.
    • CIKM 2007
    • Tan, S.1    Wu, G.2    Tang, H.3    Cheng, X.4
  • 29
    • 56749160842 scopus 로고    scopus 로고
    • Using unlabeled data to handle domain-transfer problem of semantic detection
    • S. Tan, Y. Wang, G. Wu and X. Cheng. Using unlabeled data to handle domain-transfer problem of semantic detection. SAC 2008.
    • SAC 2008
    • Tan, S.1    Wang, Y.2    Wu, G.3    Cheng, X.4
  • 30
    • 77950911780 scopus 로고    scopus 로고
    • Adapting naive bayes to domain adaptation for sentiment analysis
    • S. Tan, X. Cheng, Y. Wang and H. Xu. Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis. ECIR 2009.
    • ECIR 2009
    • Tan, S.1    Cheng, X.2    Wang, Y.3    Xu, H.4
  • 32
    • 80053402128 scopus 로고    scopus 로고
    • Automatic seed word selection for unsupervised sentiment classification of Chinese text
    • T. Zagibalov, J. Carroll. Automatic Seed Word Selection for Unsupervised Sentiment Classification of Chinese Text. Coling 2008.
    • Coling 2008
    • Zagibalov, T.1    Carroll, J.2
  • 33
    • 85121752948 scopus 로고    scopus 로고
    • Predicting the semantic orientation of adjectives
    • V. Hatzivassiloglou and K. McKeown. Predicting the semantic orientation of adjectives. ACL 1997.
    • ACL 1997
    • Hatzivassiloglou, V.1    McKeown, K.2
  • 34
    • 2442549033 scopus 로고    scopus 로고
    • Effects of adjective orientation and gradability on sentence subjectivity
    • V. Hatzivassiloglou and J. Wiebe. Effects of adjective orientation and gradability on sentence subjectivity. Coling 2000.
    • Coling 2000
    • Hatzivassiloglou, V.1    Wiebe, J.2
  • 35
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • W. Rand. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66, 846-850. 1971
    • (1971) Journal of the American Statistical Association , vol.66 , pp. 846-850
    • Rand, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.