Exploring the fine-grained analysis and automatic detection of irony on Twitter

Author:

Van Hee CynthiaORCID,Lefever ElsORCID,Hoste VéroniqueORCID

Funder

VLAIO

Publisher

Springer Science and Business Media LLC

Subject

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

Reference70 articles.

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2. Attardo, S. (2000). Irony as relevant inappropriateness. Journal of Pragmatics, 32(6), 793–826.

3. Ayata, D., Saraclar, M., Ozgur, A. (2017). BUSEM at SemEval-2017 task 4: A sentiment analysis with word embedding and long short term memory RNN approaches. In Proceedings of the 11th international workshop on semantic evaluation (SemEval’17) (pp. 777–783). ACL, Vancouver, Canada.

4. Bamman, D., Smith, N. A. (2015). Contextualized sarcasm detection on Twitter. In Proceedings of the ninth international conference on web and social media (ICWSM’15) (pp. 574–577). AAAI, Oxford, UK.

5. Barbieri, F., Ronzano, F., & Saggion, H. (2014). Italian irony detection in Twitter: A first approach. The First Italian Conference on Computational Linguistics CLiC-it 2014 (pp. 28–32). Italy: PISA.

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