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Volumn , Issue , 2012, Pages 1183-1188

Annotating opinions in German political news

Author keywords

Annotation; Opinion mining; Rule learning

Indexed keywords

DATA MINING; EXTRACTION; SUPERVISED LEARNING;

EID: 85037117504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (23)
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    • Xiwen Cheng and Feiyu Xu. 2008. Fine-grained opinion topic and polarity identification. In Proceedings of the 7th International Conference on Language Resources and Evaluation LREC, page 2710-2714, Marrekech, Morocco. European Language Resources Association (ELRA).
    • (2008) Proceedings of the 7th International Conference on Language Resources and Evaluation LREC , pp. 2710-2714
    • Cheng, X.1    Xu, F.2
  • 3
    • 33645864314 scopus 로고    scopus 로고
    • GATE: A framework and graphical development environment for robust nlp tools and applications
    • H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan. 2002. GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. In Proc. of ACL'02.
    • (2002) Proc. of ACL'02
    • Cunningham, H.1    Maynard, D.2    Bontcheva, K.3    Tablan, V.4
  • 14
    • 85037368891 scopus 로고    scopus 로고
    • Multilingual corpus development for opinion mining
    • Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Valletta, Malta, may. European Language Resources Association (ELRA)
    • Julia Maria Schulz, Christa Womser-Hacker, and Thomas Mandl. 2010. Multilingual corpus development for opinion mining. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10), Valletta, Malta, may. European Language Resources Association (ELRA).
    • (2010) Proceedings of the Seventh Conference on International Language Resources and Evaluation (LREC'10)
    • Maria Schulz, J.1    Womser-Hacker, C.2    Mandl, T.3
  • 15
    • 84857728495 scopus 로고    scopus 로고
    • Discourse level opinion relations: An annotation study
    • Association for Computational Linguistics, June. Cigdem Toprak, Niklas Jakob, and Iryna Gurevych. 2010
    • Swapna Somasundaran, Josef Ruppenhofer, and Janyce Wiebe. 2008. Discourse level opinion relations: An annotation study. In Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue, page 129-137. Association for Computational Linguistics, June. Cigdem Toprak, Niklas Jakob, and Iryna Gurevych. 2010.
    • (2008) Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue , pp. 129-137
    • Somasundaran, S.1    Ruppenhofer, J.2    Wiebe, J.3
  • 16
    • 80053221391 scopus 로고    scopus 로고
    • Sentence and expression level annotation of opinions in user-generated discourse
    • Uppsala, Sweden, July. Association for Computational Linguistics (ACL)
    • Sentence and expression level annotation of opinions in user-generated discourse. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 575-584, Uppsala, Sweden, July. Association for Computational Linguistics (ACL).
    • Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , pp. 575-584
  • 17
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • Peter D. Turney and Michael L. Littman. 2003. Measuring praise and criticism: Inference of semantic orientation from association. volume 21(4), page 315-346.
    • (2003) Volume , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Littman, M.L.2
  • 18
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    • Learning subjective language
    • Janyce M. Wiebe, Theresa Wilson, Rebecca Bruce, Matthew Bell, and Melanie Martin. 2004. Learning subjective language. volume 30(3), page 277-308.
    • (2004) Volume , vol.30 , Issue.3 , pp. 277-308
    • Wiebe, J.M.1    Wilson, T.2    Bruce, R.3    Bell, M.4    Martin, M.5
  • 22
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    • A seeddriven bottom-up machine learning framework for extracting relations of various complexity
    • Prague, Czech Republic, 6
    • Feiyu Xu, Hans Uszkoreit, and Hong Li. 2007. A seeddriven bottom-up machine learning framework for extracting relations of various complexity. In Proceedings of ACL 2007, Prague, Czech Republic, 6.
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    • Xu, F.1    Uszkoreit, H.2    Li, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.