A multidimensional approach for detecting irony in Twitter-Reference-Cited by-同舟云学术

A multidimensional approach for detecting irony in Twitter

Published:2012-07-24 Issue:1 Volume:47 Page:239-268
ISSN:1574-020X
Container-title:Language Resources and Evaluation
language:en
Short-container-title:Lang Resources & Evaluation

Author:

Reyes Antonio,Rosso Paolo,Veale Tony

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10579-012-9196-x.pdf

Reference36 articles.

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2. Attardo, S. (2007). Irony as relevant inappropriateness. In R. Gibbs & H. Colston (Eds.), Irony in language and thought (pp. 135–174). London: Taylor and Francis Group.

3. Balog, K., Mishne, G., & Rijke, M. (2006). Why are they excited? Identifying and explaining spikes in blog mood levels. In: European chapter of the association of computational linguistics (EACL 2006).

4. Burfoot, C., & Baldwin, T. (2009). Automatic satire detection: Are you having a laugh? In: ACL-IJCNLP ’09: Proceedings of the ACL-IJCNLP 2009 conference short papers (pp. 161–164).

5. Carvalho, P., Sarmento, L., Silva, M., & de Oliveira, E. (2009). Clues for detecting irony in user-generated contents: Oh $$\ldots$$ !! it’s “so easy” ;-). In: TSA ’09: Proceedings of the 1st international CIKM workshop on topic-sentiment analysis for mass opinion (pp. 53–56). Hong Kong: ACM.

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