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Volumn , Issue , 2016, Pages 491-496

ECNU at SemEval-2016 task 7: An enhanced supervised learning method for Lexicon Sentiment Intensity ranking

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS; SUPERVISED LEARNING;

EID: 85035786317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/s16-1080     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 1
    • 85122005087 scopus 로고    scopus 로고
    • Inescid: A regression model for large scale twitter sentiment lexicon induction
    • Denver, Colorado, June. Association for Computational Linguistics
    • Silvio Amir, Ramón Astudillo, Wang Ling, Bruno Martins, Mario J. Silva, and Isabel Trancoso. 2015. Inescid: A regression model for large scale twitter sentiment lexicon induction. In SemEval 2015, pages 613-618, Denver, Colorado, June. Association for Computational Linguistics.
    • (2015) SemEval 2015 , pp. 613-618
    • Amir, S.1    Astudillo, R.2    Ling, W.3    Martins, B.4    Silva, M.J.5    Trancoso, I.6
  • 3
    • 82855168069 scopus 로고    scopus 로고
    • Temporal patterns of happiness and information in a global social network: Hedonometrics and twitter
    • Peter Sheridan Dodds, Kameron Decker Harris, Isabel M Kloumann, Catherine A Bliss, and Christopher M Danforth. 2011. Temporal patterns of happiness and information in a global social network: Hedonometrics and twitter. PloS one, 6(12):e26752.
    • (2011) PloS One , vol.6 , Issue.12 , pp. e26752
    • Dodds, P.S.1    Harris, K.D.2    Kloumann, I.M.3    Bliss, C.A.4    Danforth, C.M.5
  • 4
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Alec Go, Richa Bhayani, and Lei Huang. 2009. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, pages 1-12.
    • (2009) CS224N Project Report, Stanford , pp. 1-12
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 5
    • 85122041491 scopus 로고    scopus 로고
    • Lsislif: Feature extraction and label weighting for sentiment analysis in twitter
    • Denver, Colorado, June. Association for Computational Linguistics
    • Hussam Hamdan, Patrice Bellot, and Frederic Bechet. 2015. Lsislif: Feature extraction and label weighting for sentiment analysis in twitter. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 568-573, Denver, Colorado, June. Association for Computational Linguistics.
    • (2015) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) , pp. 568-573
    • Hamdan, H.1    Bellot, P.2    Bechet, F.3
  • 8
    • 74549218265 scopus 로고    scopus 로고
    • Improving opinion retrieval based on query-specific sentiment lexicon
    • Springer
    • Seung-Hoon Na, Yeha Lee, Sang-Hyob Nam, and Jong-Hyeok Lee. 2009. Improving opinion retrieval based on query-specific sentiment lexicon. In ECIR, volume 9, pages 734-738. Springer.
    • (2009) ECIR , vol.9 , pp. 734-738
    • Na, S.-H.1    Lee, Y.2    Nam, S.-H.3    Lee, J.-H.4
  • 9
    • 84961289992 scopus 로고    scopus 로고
    • Glove: Global vectors for word representation
    • Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. In EMNLP, volume 14, pages 1532-1543.
    • (2014) EMNLP , vol.14 , pp. 1532-1543
    • Pennington, J.1    Socher, R.2    Manning, C.D.3
  • 11
    • 84959882687 scopus 로고    scopus 로고
    • Building large-scale twitter-specific sentiment lexicon: A representation learning approach
    • Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, and Ting Liu. 2014a. Building large-scale twitter-specific sentiment lexicon: A representation learning approach. In Proceedings of COLING, pages 172-182.
    • (2014) Proceedings of COLING , pp. 172-182
    • Tang, D.1    Wei, F.2    Qin, B.3    Zhou, M.4    Liu, T.5
  • 13
    • 33644632271 scopus 로고    scopus 로고
    • Annotating expressions of opinions and emotions in language
    • Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005. Annotating expressions of opinions and emotions in language. Language resources and evaluation, 39(2-3):165-210.
    • (2005) Language Resources and Evaluation , vol.39 , Issue.2-3 , pp. 165-210
    • Wiebe, J.1    Wilson, T.2    Cardie, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.