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Volumn , Issue , 2016, Pages 811-817

Capturing reliable fine-grained sentiment associations by crowdsourcing and best-worst scaling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SENTIMENT ANALYSIS; SOCIAL NETWORKING (ONLINE);

EID: 84994115582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1095     Document Type: Conference Paper
Times cited : (140)

References (29)
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  • 5
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    • Best-worst scaling: Theory and methods
    • Stephane Hess and Andrew Daly, editors, Edward Elgar Publishing
    • T. N. Flynn and A. A. J. Marley. 2014. Best-worst scaling: theory and methods. In Stephane Hess and Andrew Daly, editors, Handbook of Choice Modelling, pages 178-201. Edward Elgar Publishing.
    • (2014) Handbook of Choice Modelling , pp. 178-201
    • Flynn, T.N.1    Marley, A.A.J.2
  • 8
    • 84994075820 scopus 로고    scopus 로고
    • The lingering after-effects in the reader's mind - An investigation into the affective dimension of literary reading
    • Marcus Hartner. 2013. The lingering after-effects in the reader's mind - an investigation into the affective dimension of literary reading. Journal of Literary Theory Online.
    • (2013) Journal of Literary Theory Online
    • Hartner, M.1
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    • 79956308041 scopus 로고    scopus 로고
    • Emotions and narrative analysis: A methodological approach
    • Jochen Kleres. 2011. Emotions and narrative analysis: A methodological approach. Journal for the Theory of Social Behaviour, 41(2):182-202.
    • (2011) Journal for the Theory of Social Behaviour , vol.41 , Issue.2 , pp. 182-202
    • Kleres, J.1
  • 14
    • 51449084395 scopus 로고
    • Working Paper. Department of Marketing and Economic Analysis, University of Alberta
    • Jordan J. Louviere and George G. Woodworth. 1990. Best-worst analysis. Working Paper. Department of Marketing and Economic Analysis, University of Alberta.
    • (1990) Best-worst Analysis
    • Louviere, J.J.1    Woodworth, G.G.2
  • 16
    • 84929049839 scopus 로고    scopus 로고
    • Using hashtags to capture fine emotion categories from tweets
    • Saif M. Mohammad and Svetlana Kiritchenko. 2015. Using hashtags to capture fine emotion categories from tweets. Computational Intelligence, 31(2):301-326.
    • (2015) Computational Intelligence , vol.31 , Issue.2 , pp. 301-326
    • Mohammad, S.M.1    Kiritchenko, S.2
  • 17
    • 84881408290 scopus 로고    scopus 로고
    • Crowdsourcing a word-emotion association lexicon
    • Saif M. Mohammad and Peter D. Turney. 2013. Crowdsourcing a word-emotion association lexicon. Computational Intelligence, 29(3):436-465.
    • (2013) Computational Intelligence , vol.29 , Issue.3 , pp. 436-465
    • Mohammad, S.M.1    Turney, P.D.2
  • 20
    • 84865500058 scopus 로고    scopus 로고
    • From once upon a time to happily ever after: Tracking emotions in mail and books
    • Saif M Mohammad. 2012. From once upon a time to happily ever after: Tracking emotions in mail and books. Decision Support Systems, 53(4):730-741.
    • (2012) Decision Support Systems , vol.53 , Issue.4 , pp. 730-741
    • Mohammad, S.M.1
  • 28
    • 84887059362 scopus 로고    scopus 로고
    • Norms of valence, arousal, and dominance for 13,915 English lemmas
    • Amy Beth Warriner, Victor Kuperman, and Marc Brysbaert. 2013. Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45(4):1191-1207.
    • (2013) Behavior Research Methods , vol.45 , Issue.4 , pp. 1191-1207
    • Warriner, A.B.1    Kuperman, V.2    Brysbaert, M.3
  • 29
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    • Recognizing contextual polarity in phrase-level sentiment analysis
    • Stroudsburg, PA, USA
    • Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Joint Conference on HLT and EMNLP, pages 347-354, Stroudsburg, PA, USA.
    • (2005) Proceedings of the Joint Conference on HLT and EMNLP , pp. 347-354
    • Wilson, T.1    Wiebe, J.2    Hoffmann, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.