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Volumn , Issue , 2009, Pages 161-164

Automatic satire detection: Are you having a laugh?

Author keywords

[No Author keywords available]

Indexed keywords

NOVEL TASK; SEMANTIC FEATURES; FEATURE SCALING; FEATURE TYPES; LEXICAL FEATURES;

EID: 84859039148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (147)

References (8)
  • 5
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Chemnitz, Germany
    • Thorsten Joachims. 1998. Text categorization with support vector machines: learning with many relevant features. In Proceedings of the 10th European Conference on Machine Learning, pages 137-142, Chemnitz, Germany.
    • (1998) Proceedings of the 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 6
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • Bernhard Schölkopf, Christopher J. C. Burges, and Alexander J. Smola, editors. MIT Press, Cambridge, USA
    • Thorsten Joachims. 1999. Making large-scale support vector machine learning practical. In Bernhard Schölkopf, Christopher J. C. Burges, and Alexander J. Smola, editors, Advances in Kernel Methods: Support Vector Learning, pages 169-184. MIT Press, Cambridge, USA.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 8
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews
    • Philadelphia, USA
    • Peter Turney. 2002. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, pages 417-424, Philadelphia, USA.
    • (2002) Proceedings of 40th Annual Meeting of the Association for Computational Linguistics , pp. 417-424
    • Turney, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.