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Volumn , Issue , 2016, Pages 606-615

Attention-based LSTM for aspect-level sentiment classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); SENTIMENT ANALYSIS;

EID: 85072824815     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d16-1058     Document Type: Conference Paper
Times cited : (2393)

References (31)
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    • Adaptive subgradient methods for online learning and stochastic optimization
    • John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. The_Journal_of_Machine Learning_Research, 12:2121-2159.
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    • Duchi, J.1    Hazan, E.2    Singer, Y.3
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    • 80053345303 scopus 로고    scopus 로고
    • Building lexicon for sentiment analysis from massive collection of HTML documents
    • Nobuhiro Kaji and Masaru Kitsuregawa. 2007. Building lexicon for sentiment analysis from massive collection of html documents. In EMNLP-CoNLL, pages 1075-1083.
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    • Kaji, N.1    Kitsuregawa, M.2
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    • Perez-Rosas, V.1    Banea, C.2    Mihalcea, R.3
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    • Recursive deep models for semantic compositionality over a sentiment treebank
    • Citeseer
    • Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In EMNLP, volume 1631, page 1642. Citeseer.
    • (2013) EMNLP , vol.1631 , pp. 1642
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.