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Volumn 2, Issue , 2014, Pages 693-699

A piece of my mind: A sentiment analysis approach for online dispute detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SENTIMENT ANALYSIS;

EID: 84906932858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-2113     Document Type: Conference Paper
Times cited : (46)

References (25)
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    • Matt Billings and Leon Adam Watts. 2010. Understanding dispute resolution online: using text to reflect personal and substantive issues in conflict. In Elizabeth D. Mynatt, Don Schoner, Geraldine Fitzpatrick, Scott E. Hudson, W. Keith Edwards, and Tom Rodden, editors, CHI, pages 1447-1456. ACM.
    • (2010) CHI , pp. 1447-1456
    • Billings, M.1    Watts, L.A.2
  • 5
    • 84867618895 scopus 로고    scopus 로고
    • Identifying agreement and disagreement in conversational speech: Use of Bayesian networks to model pragmatic dependencies
    • pages 669+, Morristown, NJ, USA. Association for Computational Linguistics
    • Michel Galley, Kathleen McKeown, Julia Hirschberg, and Elizabeth Shriberg. 2004. Identifying agreement and disagreement in conversational speech: use of Bayesian networks to model pragmatic dependencies. In ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pages 669+, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2004) ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
    • Galley, M.1    McKeown, K.2    Hirschberg, J.3    Shriberg, E.4
  • 6
    • 30744439551 scopus 로고    scopus 로고
    • Internet encyclopaedias go head to head
    • Jim Giles. 2005. Internet encyclopaedias go head to head. Nature, 438(7070):900-901.
    • (2005) Nature , vol.438 , Issue.7070 , pp. 900-901
    • Giles, J.1
  • 7
    • 85120003200 scopus 로고    scopus 로고
    • Agreement/disagreement classification: Exploiting unlabeled data using contrast classifiers
    • New York City, USA, June. Association for Computational Linguistics
    • Sangyun Hahn, Richard Ladner, and Mari Ostendorf. 2006. Agreement/disagreement classification: Exploiting unlabeled data using contrast classifiers. In Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers, pages 53-56, New York City, USA, June. Association for Computational Linguistics.
    • (2006) Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers , pp. 53-56
    • Hahn, S.1    Ladner, R.2    Ostendorf, M.3
  • 9
    • 85050833156 scopus 로고
    • Empirical studies on the disambiguation of cue phrases
    • September
    • Julia Hirschberg and Diane Litman. 1993. Empirical studies on the disambiguation of cue phrases. Comput. Linguist., 19(3):501-530, September.
    • (1993) Comput. Linguist. , vol.19 , Issue.3 , pp. 501-530
    • Hirschberg, J.1    Litman, D.2
  • 11
    • 0010749639 scopus 로고    scopus 로고
    • Time to split, virtually: Discourse architecture and community building create vibrant virtual publics
    • Quentin Jones and Sheizaf Rafaeli. 2000. Time to split, virtually: discourse architecture and community building create vibrant virtual publics. Electronic Markets, 10:214-223.
    • (2000) Electronic Markets , vol.10 , pp. 214-223
    • Jones, Q.1    Rafaeli, S.2
  • 23
    • 84906926917 scopus 로고    scopus 로고
    • Dynamics of conflicts in wikipedia
    • abs/1202.3643
    • Taha Yasseri, Róbert Sumi, András Rung, András Kornai, and János Kertész. 2012. Dynamics of conflicts in wikipedia. CoRR, abs/1202.3643.
    • (2012) CoRR
    • Yasseri, T.1    Sumi, R.2    Rung, A.3    Kornai, A.4    Kertész, J.5
  • 25
    • 0001868572 scopus 로고    scopus 로고
    • Text categorization based on regularized linear classification methods
    • April
    • Tong Zhang and Frank J. Oles. 2001. Text categorization based on regularized linear classification methods. Inf. Retr., 4(1):5-31, April.
    • (2001) Inf. Retr. , vol.4 , Issue.1 , pp. 5-31
    • Zhang, T.1    Oles, F.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.