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Volumn 2015-January, Issue , 2015, Pages 4158-4162

Developing corpora for sentiment analysis: The case of irony and senti-TUT

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOCIAL NETWORKING (ONLINE);

EID: 84949895787     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (22)
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  • 3
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    • Developing corpora for sentiment analysis: The case of irony and senti-TUT
    • Cristina Bosco, Viviana Patti, and Andrea Bolioli. Developing corpora for sentiment analysis: The case of irony and Senti-TUT. IEEE Intelligent Systems, 28(2):55-63, 2013.
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  • 7
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    • Dmitry Davidov, Oren Tsur, and Ari Rappoport. Semi-supervised recognition of sarcastic sentences in Twitter and Amazon. In Proceedings of the CONLL'11, pages 107-116, Portland, Oregon (USA), 2011.
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    • Davidov, D.1    Tsur, O.2    Rappoport, A.3
  • 8
    • 84992740503 scopus 로고    scopus 로고
    • Irony and sarcasm: Corpus generation and analysis using crowdsourcing
    • Istanbul, Turkey
    • Elena Filatova. Irony and sarcasm: Corpus generation and analysis using crowdsourcing. In Proceedings of the LREC'12, pages 392-398, Istanbul, Turkey, 2012.
    • (2012) Proceedings of the LREC'12 , pp. 392-398
    • Filatova, E.1
  • 11
    • 84953712506 scopus 로고    scopus 로고
    • Quantising opinions for political tweets analysis
    • Istanbul, Turkey
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    • He, Y.1    Saif, H.2    Wei, Z.3    Wong, K.-F.4
  • 12
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    • Relational features in fine-grained opinion analysis
    • Richard Johansson and Alessandro Moschitti. Relational features in fine-grained opinion analysis. Computational Linguistics, 39(3), 2013.
    • (2013) Computational Linguistics , vol.39 , Issue.3
    • Johansson, R.1    Moschitti, A.2
  • 13
    • 85037117504 scopus 로고    scopus 로고
    • Annotating opinions in German political news
    • Istanbul, Turkey
    • Hong Li, Xiwen Cheng, Kristina Adson, Tal Kirshboim, and Feiyu Xu. Annotating opinions in German political news. In Proceedings of the LREC'12, pages 1183-1188, Istanbul, Turkey, 2012.
    • (2012) Proceedings of the LREC'12 , pp. 1183-1188
    • Li, H.1    Cheng, X.2    Adson, K.3    Kirshboim, T.4    Xu, F.5
  • 16
    • 84977559708 scopus 로고    scopus 로고
    • Fine-grained German sentiment analysis on social media
    • Istanbul, Turkey
    • Saeedeh Momtazi. Fine-grained German sentiment analysis on social media. In Proceedings of the LREC'12, pages 1215-1220, Istanbul, Turkey, 2012.
    • (2012) Proceedings of the LREC'12 , pp. 1215-1220
    • Momtazi, S.1
  • 17
    • 84861093687 scopus 로고    scopus 로고
    • From humor recognition to irony detection: The figurative language of social media
    • Antonio Reyes, Paolo Rosso, and Davide Buscaldi. From humor recognition to irony detection: The figurative language of social media. Data Knowledge Engineering, 74:1-12, 2012.
    • (2012) Data Knowledge Engineering , vol.74 , pp. 1-12
    • Reyes, A.1    Rosso, P.2    Buscaldi, D.3
  • 18
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    • A multidimensional approach for detecting irony in twitter
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    • (2013) Language Resources and Evaluation , vol.47 , Issue.1 , pp. 239-268
    • Reyes, A.1    Rosso, P.2    Veale, T.3
  • 20
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    • Predicting elections with twitter: What 140 characters reveal about political sentiment
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    • Andranik Tumasjan, Timm O. Sprenger, Philipp G. Sandner, and Isabell M. Welpe. Predicting elections with Twitter: What 140 characters reveal about political sentiment. In Proceedings of the ICWSM-11, pages 178-185, Barcelona, Spain, 2011.
    • (2011) Proceedings of the ICWSM-11 , pp. 178-185
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3    Welpe, I.M.4
  • 21
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    • Perspectives on crowdsourcing annotations for natural language processing
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    • Wang, A.1    Hoang, C.D.V.2    Kan, M.-Y.3
  • 22
    • 33644632271 scopus 로고    scopus 로고
    • Annotating expressions of opinions and emotions in language
    • Janyce Wiebe, Theresa Wilson, and Claire Cardie. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 39(2-3):165-210, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.