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Volumn , Issue , 2014, Pages 1341-1349

Hybrid deep belief networks for semi-supervised sentiment classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; LINGUISTICS; SUPERVISED LEARNING;

EID: 84959912331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (20)
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  • 5
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  • 6
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    • A fast learning algorithm for deep belief nets
    • Geoffrey E. Hinton, Simon Osindero, and Yee-Whye Teh. 2006. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-1554.
    • (2006) Neural Computation , vol.18 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 8
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner. 1998. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 9
    • 71149119164 scopus 로고    scopus 로고
    • Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
    • Montreal, Canada. ACM
    • Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng. 2009a. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In International Conference on Machine Learning, pages 609-616, Montreal, Canada. ACM.
    • (2009) International Conference on Machine Learning , pp. 609-616
    • Lee, H.1    Grosse, R.2    Ranganath, R.3    Ng, A.Y.4
  • 10
    • 84863380535 scopus 로고    scopus 로고
    • Unsupervised feature learning for audio classification using convolutional deep belief networks
    • Vancouver, B.C. Canada. NIPS Foundation
    • Honglak Lee, Yan Largman, Peter Pham, and Andrew Y. Ng. 2009b. Unsupervised feature learning for audio classification using convolutional deep belief networks. In Advances in Neural Information Processing Systems, pages 1096-1103, Vancouver, B.C., Canada. NIPS Foundation.
    • (2009) Advances in Neural Information Processing Systems , pp. 1096-1103
    • Lee, H.1    Largman, Y.2    Pham, P.3    Ng, A.Y.4
  • 11
    • 79958248245 scopus 로고    scopus 로고
    • Employing personal/impersonal views in supervised and semi-supervised sentiment classification
    • Uppsala, Sweden. Association for Computational Linguistics
    • Shoushan Li, Chu-Ren Huang, Guodong Zhou, and Sophia Yat, Mei Lee. 2010. Employing personal/impersonal views in supervised and semi-supervised sentiment classification. In Annual Meeting of the Association for Computational Linguistics, pages 414-423, Uppsala, Sweden. Association for Computational Linguistics.
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    • Li, S.1    Huang, C.-R.2    Zhou, G.3    Yat, S.4    Lee, M.5
  • 14
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    • Thumbs up? Sentiment classification using machine learning techniques
    • Stroudsburg, PA, USA. Association for Computational Linguistics
    • Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? sentiment classification using machine learning techniques. In Conference on Empirical Methods in Natural Language Processing, pages 79-86, Stroudsburg, PA, USA. Association for Computational Linguistics.
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    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 15
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    • Semi-supervised learning of compact document representations with deep networks
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    • Marc'Aurelio Ranzato and Martin Szummer. 2008. Semi-supervised learning of compact document representations with deep networks. In International Conference on Machine Learning, pages 792-799, Helsinki, Finland. ACM.
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  • 16
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    • Learning a nonlinear embedding by preserving class neighbourhood structure
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  • 17
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    • Sentiment learning on product reviews via sentiment ontology tree
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    • Wei Wei and Jon Atle Gulla. 2010. Sentiment learning on product reviews via sentiment ontology tree. In Annual Meeting of the Association for Computational Linguistics, pages 404-413, Stroudsburg, PA, USA. Association for Computational Linguistics.
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    • Wei, W.1    Gulla, J.A.2
  • 19
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    • Active deep networks for semi-supervised sentiment classification
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    • Shusen Zhou, Qingcai Chen, and Xiaolong Wang. 2010. Active deep networks for semi-supervised sentiment classification. In International Conference on Computational Linguistics, pages 1515-1523, Beijing, China. Coling 2010 Organizing Committee.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.