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Volumn 55, Issue , 2015, Pages 135-142

Is this tweet satirical? A computational approach for satire detection in Spanish

Author keywords

Figurative language; Satire detection; Sentiment analysis

Indexed keywords


EID: 84941219432     PISSN: 11355948     EISSN: 19897553     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (24)

References (25)
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    • Barbieri, F.1    Saggion, H.2
  • 6
    • 70349661813 scopus 로고    scopus 로고
    • Political satire and postmodern irony in the age of stephen colbert and jon stewart
    • Colletta, L. 2009. Political satire and postmodern irony in the age of stephen colbert and jon stewart. The Journal of Popular Culture, 42(5):856-874.
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    • Colletta, L.1
  • 8
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    • On irony and negation
    • Giora, R. 1995. On irony and negation. Discourse processes, 19(2):239-264.
    • (1995) Discourse Processes , vol.19 , Issue.2 , pp. 239-264
    • Giora, R.1
  • 11
    • 63849124033 scopus 로고    scopus 로고
    • The irony of satire political ideology and the motivation to see what you want to see in the colbert report
    • La Marre, H., K. Landreville, and M. Beam. 2009. The irony of satire political ideology and the motivation to see what you want to see in the colbert report. The International Journal of Press/Politics, 14(2):212-231.
    • (2009) The International Journal of Press/Politics , vol.14 , Issue.2 , pp. 212-231
    • La Marre, H.1    Landreville, K.2    Beam, M.3
  • 15
    • 48449095896 scopus 로고    scopus 로고
    • Opinion mining and sentiment analysis
    • January
    • Pang, Bo and Lillian Lee. 2008. Opinion Mining and Sentiment Analysis. Found. Trends Inf. Retr., 2(1-2):1-135, January.
    • (2008) Found. Trends Inf. Retr. , vol.2 , Issue.1-2 , pp. 1-135
    • Pang, B.1    Lee, L.2
  • 17
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Platt, John et al. 1999. Fast training of support vector machines using sequential minimal optimization. Advances in kernel methodssupport vector learning, 3.
    • (1999) Advances in Kernel Methodssupport Vector Learning , pp. 3
    • Platt, J.1
  • 20
    • 84861093687 scopus 로고    scopus 로고
    • From humor recognition to irony detection: The figurative language of social media
    • Reyes, Antonio, Paolo Rosso, and Davide Buscaldi. 2012. From humor recognition to irony detection: The figurative language of social media. Data & Knowledge Engineering, 74:1-12.
    • (2012) Data & Knowledge Engineering , vol.74 , pp. 1-12
    • Reyes, A.1    Rosso, P.2    Buscaldi, D.3
  • 21
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews
    • Turney, P. 2002. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th ACL, pages 417-424.
    • (2002) Proceedings of the 40th ACL , pp. 417-424
    • Turney, P.1
  • 22
    • 0034311221 scopus 로고    scopus 로고
    • Verbal irony as implicit display of ironic environment: Distinguishing ironic utterances from nonirony
    • Utsumi, Akira. 2000. Verbal irony as implicit display of ironic environment: Distinguishing ironic utterances from nonirony. Journal of Pragmatics, 32(12):1777-1806.
    • (2000) Journal of Pragmatics , vol.32 , Issue.12 , pp. 1777-1806
    • Utsumi, A.1
  • 23
    • 78650746047 scopus 로고    scopus 로고
    • An ironic fist in a velvet glove: Creative misrepresentation in the construction of ironic similes
    • Veale, T. and Y. Hao. 2010a. An ironic fist in a velvet glove: Creative misrepresentation in the construction of ironic similes. Minds and Machines, 20(4):635-650.
    • (2010) Minds and Machines , vol.20 , Issue.4 , pp. 635-650
    • Veale, T.1    Hao, Y.2
  • 24
    • 77956019389 scopus 로고    scopus 로고
    • Detecting ironic intent in creative comparisons
    • Veale, T. and Y. Hao. 2010b. Detecting Ironic Intent in Creative Comparisons. In ECAI, volume 215, pages 765-770.
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    • Veale, T.1    Hao, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.