Mining Subjective Knowledge from Customer Reviews: A Specific Case of Irony Detection

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2011, Pages 118-124

  Reyes, Antonio ^a   Rosso, Paolo ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CHAIN REACTION; CUSTOMER REVIEW; DATA SET; MASS MEDIA; SENTIMENT ANALYSIS; SET OF CUSTOMERS; SOCIAL MEDIA;

SENTIMENT ANALYSIS;

EID: 84991220508     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. J. Atserias, B. Casas, E. Comelles, M. Gonźalez, L. Padŕo, and M Padŕo. 2006. Freeling 1.3: Syntactic and semantic services in an open-source nlp library. In Proceedings of the 5th International Conference on Language Resources and Evaluation, pages 48-55.
2. S. Attardo. 2007. Irony as relevant inappropriateness. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 135-174. Taylor and Francis Group.
3. L. Bentivogli, P. Forner, B. Magnini, and E. Pianta. 2004. Revising the wordnet domains hierarchy: semantics, coverage and balancing. In Gilles Śerasset, editor, Multilingual Linguistic Resources, pages 94-101.
4. T. Brants and A. Franz. 2006. Web 1t 5-gram corpus version 1.
5. C. Burfoot and T. Baldwin. 2009. Automatic satire detection: Are you having a laugh? In ACL-IJCNLP '09: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 161-164.
6. P. Carvalho, L. Sarmento, M. Silva, and E. de Oliveira. 2009. Clues for detecting irony in user-generated contents: oh...!! it's "so easy";-). In TSA '09: Proceeding of the 1st international CIKM workshop on Topicsentiment analysis for mass opinion, pages 53-56.
7. H. Colston and R. Gibbs. 2007. A brief history of irony. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 3-24. Taylor and Francis Group.
8. H. Colston. 2007. On necessary conditions for verbal irony comprehension. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 97-134. Taylor and Francis Group.
9. I. Councill, R. McDonald, and L. Velikovich. 2010. What's great and what's not: learning to classify the scope of negation for improved sentiment analysis. In Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, pages 51-59, July.
10. C. Curćo. 2007. Irony: Negation, echo, and metarepresentation. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 269-296. Taylor and Francis Group.
11. D. Davidov, O. Tsur, and A. Rappoport. 2010. Semisupervised recognition of sarcastic sentences in Twitter and Amazon. In Proceeding of the 23rd international conference on Computational Linguistics, July.
12. R. Gibbs and H. Colston. 2007. The future of irony studies. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 339-360. Taylor and Francis Group.
13. R. Gibbs. 2007. Irony in talk among friends. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 339-360. Taylor and Francis Group.
14. R. Giora. 1995. On irony and negation. Discourse Processes, 19(2):239-264.
15. H. Grice. 1975. Logic and conversation. In Peter Cole and Jerry L. Morgan, editors, Syntax and semantics, volume 3, pages 41-58. New York: Academic Press.
16. X. L¨u, L. Zhang, and J. Hu. 2004. Statistical substring reduction in linear time. In Proceedings of IJCNLP- 04, HaiNan island.
17. J. Lucariello. 2007. Situational irony: A concept of events gone away. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 467-498. Taylor and Francis Group.
18. R. Mihalcea and C. Strapparava. 2006. Learning to Laugh (Automatically): Computational Models for Humor Recognition. Journal of Computational Intelligence, 22(2):126-142.
19. G. Miller. 1995. Wordnet: A lexical database for english. Communications of the ACM, 38(11):39-41.
20. A. Reyes, P. Rosso, and D. Buscaldi. 2009. Humor in the blogosphere: First clues for a verbal humor taxonomy. Journal of Intelligent Systems, 18(4):311-331.
21. M. Saif, D. Cody, and D. Bonnie. 2009. Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus. In Proceedings of the 2009 Conference on EMNLP, pages 599-608, Morristown, NJ, USA. Association for Computational Linguistics.
22. C. Strapparava and A. Valitutti. 2004. WordNet-affect: an affective extension of WordNet. In Proceedings of the 4th International Conference on Language Resources and Evaluation, volume 4, pages 1083-1086.
23. O. Tsur, D. Davidov, and A. Rappoport. 2010. {ICWSM} - a great catchy name: Semi-supervised recognition of sarcastic sentences in online product reviews. In William W. Cohen and Samuel Gosling, editors, Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pages 162- 169, Washington, D.C., 23-26 May. The AAAI Press.
24. A. Utsumi. 1996. A unified theory of irony and its computational formalization. In Proceedings of the 16th conference on Computational Linguistics, pages 962- 967, Morristown, NJ, USA. Association for Computational Linguistics.
25. T. Veale and Y. Hao. 2009. Support structures for linguistic creativity: A computational analysis of creative irony in similes. In Proceedings of CogSci 2009, the 31st Annual Meeting of the Cognitive Science Society, pages 1376-1381.
26. C. Whissell. 1989. The dictionary of affect in language. Emotion: Theory, Research, and Experience, 4:113- 131.
27. D. Wilson and D. Sperber. 2007. On verbal irony. In R. Gibbs and H. Colston, editors, Irony in Language and Thought, pages 35-56. Taylor and Francis Group.