Some clues on irony detection in tweets

WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Volumn , Issue , 2013, Pages 635-636

  Vanin, Aline A ^a   De Freitas, Larissa A ^a   Vieira, Renata ^a   Bochernitsan, Marco N ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Irony detection; Microposts; Twitter

Indexed keywords

SOCIAL NETWORKING (ONLINE);

BACKGROUND INFORMATION; COMMON GROUND; CONTEXTUAL FEATURE; EVENT SERVICE; HIGH VOLUMES; IRONY DETECTION; LIMITED SPACE; MICROPOST; SENTIMENT ANALYSIS; TWITTER;

SENTIMENT ANALYSIS;

EID: 84893066586     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2488012     Document Type: Conference Paper

References (4)

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2. thAnnual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 581-586, 2011.
3. O. Tsur, D. Davidov, and A. Rappoport. Icwsm - A great catchy name: Semi-supervised recognition of sarcastic sentences in online product reviews. In Proceedings of the Fouth International AAAI Conference on Weblogs and Social Media, pages 162-169, 2010.
4. A. Utsumi. Verbal irony as implicit display of ironic environment: Distinguishing ironic utterances from nonirony. Journal of Pragmatics, 32(12):1777-1806, 2000.