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Volumn 1, Issue , 2014, Pages 325-335

Context-aware learning for sentence-level sentiment analysis with posterior regularization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; RANDOM PROCESSES; SENTIMENT ANALYSIS; SUPERVISED LEARNING;

EID: 84906929178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1031     Document Type: Conference Paper
Times cited : (105)

References (31)
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    • John Duchi, Elad Hazan, and Yoram Singer. 2010. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12:2121-2159.
    • (2010) Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 6
    • 84859900250 scopus 로고    scopus 로고
    • Dependency grammar induction via bitext projection constraints
    • Kuzman Ganchev, Jennifer Gillenwater, and Ben Taskar. 2009. Dependency grammar induction via bitext projection constraints. In Proceedings of the ACL-IJCNLP, pages 369-377.
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    • Ganchev, K.1    Gillenwater, J.2    Taskar, B.3
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    • Association for Computational Linguistics
    • Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd annual meeting on Association for Computational Linguistics, page 271. Association for Computational Linguistics.
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    • Pang, B.1    Lee, L.2
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    • 80053429155 scopus 로고    scopus 로고
    • Supervised and unsupervised methods in employing discourse relations for improving opinion polarity classification
    • Association for Computational Linguistics
    • Swapna Somasundaran, Galileo Namata, Janyce Wiebe, and Lise Getoor. 2009. Supervised and unsupervised methods in employing discourse relations for improving opinion polarity classification. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1, pages 170-179. Association for Computational Linguistics.
    • (2009) Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing , vol.1 , pp. 170-179
    • Somasundaran, S.1    Namata, G.2    Wiebe, J.3    Getoor, L.4
  • 26
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    • Discovering fine-grained sentiment with latent variable structured prediction models
    • Springer
    • Oscar Täckström and Ryan McDonald. 2011a. Discovering fine-grained sentiment with latent variable structured prediction models. In Advances in Information Retrieval, pages 368-374. Springer.
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    • (2013) Proceedings of NAACL-HLT , pp. 808-813
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.