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Volumn , Issue , 2005, Pages 115-124

Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; CLASS RELATIONSHIP; HUMAN PERFORMANCE; METRIC LABELING; MULTI-CLASS; RATING SCALE; SENTIMENT ANALYSIS; SIMILARITY MEASURE; TEXT CATEGORIZATION;

EID: 84859895244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2380)

References (31)
  • 6
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • Dave, Kushal, Steve Lawrence, and David M. Pennock. 2003. Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of WWW, pages 519-528.
    • (2003) Proceedings of WWW , pp. 519-528
    • Dave, K.1    Lawrence, S.2    Pennock, D.M.3
  • 8
    • 0008371352 scopus 로고    scopus 로고
    • Large margin rank boundaries for ordinal regression
    • Alexander J. Smola, Peter L. Bartlett, Bernhard Schölkopf, and Dale Schuurmans, editors, Neural Information Processing Systems MIT Press
    • Herbrich, Ralf, Thore Graepel, and Klaus Obermayer. 2000. Large margin rank boundaries for ordinal regression. In Alexander J. Smola, Peter L. Bartlett, Bernhard Schölkopf, and Dale Schuurmans, editors, Advances in Large Margin Classifiers, Neural Information Processing Systems. MIT Press, pages 115-132.
    • (2000) Advances in Large Margin Classifiers , pp. 115-132
    • Herbrich, R.1    Graepel, T.2    Obermayer, K.3
  • 11
    • 84957650547 scopus 로고    scopus 로고
    • Occlusions, discontinuities, and epipolar lines in stereo
    • Computer Vision - ECCV'98
    • Ishikawa, Hiroshi and Davi Geiger. 1998. Occlusions, discontinuities, and epipolar lines in stereo. In Proceedings of the 5th European Conference on Computer Vision (ECCV), volume I, pages 232-248, London, UK. Springer-Verlag. (Pubitemid 128093085)
    • (1998) Lecture Notes in Computer Science , Issue.1406 , pp. 232-248
    • Ishikawa, H.1    Geiger, D.2
  • 12
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • Bernhard Schölkopf and Alexander Smola, editors. MIT Press
    • Joachims, Thorsten. 1999. Making large-scale SVM learning practical. In Bernhard Schölkopf and Alexander Smola, editors, Advances in Kernel Methods - Support Vector Learning. MIT Press, pages 44-56.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 44-56
    • Joachims, T.1
  • 13
    • 1842545358 scopus 로고    scopus 로고
    • Approximation algorithms for classification problems with pairwise relationships: Metric labeling and Markov random fields
    • Kleinberg, Jon and Éva Tardos. 2002. Approximation algorithms for classification problems with pairwise relationships: Metric labeling and Markov random fields. Journal of the ACM, 49(5):616-639.
    • (2002) Journal of the ACM , vol.49 , Issue.5 , pp. 616-639
    • Kleinberg, J.1    Tardos, E.2
  • 16
    • 0003223784 scopus 로고    scopus 로고
    • Multi-label text classification with a mixture model trained by em
    • McCallum, Andrew. 1999. Multi-label text classification with a mixture model trained by EM. In AAAI Workshop on Text Learning.
    • (1999) AAAI Workshop on Text Learning
    • McCallum, A.1
  • 18
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Pang, Bo and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the ACL, pages 271-278.
    • (2004) Proceedings of the ACL , pp. 271-278
    • Pang, B.1    Lee, L.2
  • 19
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • Pang, Bo, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP, pages 79-86.
    • (2002) Proceedings of EMNLP , pp. 79-86
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 22
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Schapire, Robert E. and Yoram Singer. 2000. BoosTexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168. (Pubitemid 30594821)
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 24
    • 0035415706 scopus 로고    scopus 로고
    • Affect analysis of text using fuzzy semantic typing
    • DOI 10.1109/91.940962, PII S1063670601065377, Fuzzy Logic at the Turn of the Millennium
    • Subasic, Pero and Alison Huettner. 2001. Affect analysis of text using fuzzy semantic typing. IEEE Transactions on Fuzzy Systems, 9(4):483-496. (Pubitemid 32933037)
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 483-496
    • Subasic, P.1    Huettner, A.2
  • 25
    • 67649928666 scopus 로고    scopus 로고
    • Modeling category structures with a kernel function
    • Takamura, Hiroya, Yuji Matsumoto, and Hiroyasu Yamada. 2004. Modeling category structures with a kernel function. In Proceedings of CoNLL, pages 57-64.
    • (2004) Proceedings of CoNLL , pp. 57-64
    • Takamura, H.1    Matsumoto, Y.2    Yamada, H.3
  • 26
    • 12244298694 scopus 로고    scopus 로고
    • An operational system for detecting and tracking opinions in on-line discussion
    • Tong, Richard M. 2001. An operational system for detecting and tracking opinions in on-line discussion. SIGIR Workshop on Operational Text Classification.
    • (2001) SIGIR Workshop on Operational Text Classification
    • Tong, R.M.1
  • 27
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
    • Turney, Peter. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the ACL, pages 417-424.
    • (2002) Proceedings of the ACL , pp. 417-424
    • Turney, P.1
  • 29
    • 9444224970 scopus 로고    scopus 로고
    • Just how mad are you? Finding strong and weak opinion clauses
    • Wilson, Theresa, Janyce Wiebe, and Rebecca Hwa. 2004. Just how mad are you? Finding strong and weak opinion clauses. In Proceedings of AAAI, pages 761-769.
    • (2004) Proceedings of AAAI , pp. 761-769
    • Wilson, T.1    Wiebe, J.2    Hwa, R.3
  • 30
    • 85125365322 scopus 로고    scopus 로고
    • Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
    • Yu, Hong and Vasileios Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP.
    • (2003) Proceedings of EMNLP
    • Yu, H.1    Hatzivassiloglou, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.