Towards a Contextual Pragmatic Model to Detect Irony in Tweets

This paper proposes an approach to capture the pragmatic context needed to infer irony in tweets. We aim to test the validity of two main hypotheses: (1) the presence of negations, as an internal propriety of an utterance, can help to detect the disparity between the literal and the intended meaning of an utterance, (2) a tweet containing an asserted fact of the form Not(P1) is ironic if and only if one can assess the absurdity of P1. Our first results are encouraging and show that deriving a pragmatic contextual model is feasible.

[1]  Laurence Danlos,et al.  LEXCONN: A French Lexicon of Discourse Connectives , 2010 .

[2]  Dietrich Klakow,et al.  A survey on the role of negation in sentiment analysis , 2010, NeSp-NLP@ACL.

[3]  Horacio Saggion,et al.  Modelling Irony in Twitter: Feature Analysis and Evaluation , 2014, LREC.

[4]  Timothy Baldwin,et al.  Automatic Satire Detection: Are You Having a Laugh? , 2009, ACL.

[5]  Mário J. Silva,et al.  Clues for detecting irony in user-generated contents: oh...!! it's "so easy" ;-) , 2009, TSA@CIKM.

[6]  Antal van den Bosch,et al.  The perfect solution for detecting sarcasm in tweets #not , 2013, WASSA@NAACL-HLT.

[7]  Paolo Rosso,et al.  A multidimensional approach for detecting irony in Twitter , 2013, Lang. Resour. Evaluation.

[8]  S. Attardo Irony as relevant inappropriateness , 2000 .

[9]  Akira Utsumi,et al.  A Unified Theory of Irony and Its Computational Formalization , 1996, COLING.

[10]  C. Shelley The bicoherence theory of situational irony , 2001 .

[11]  Farah Benamara,et al.  Fine-grained semantic categorization of opinion expressions for consensus detection (Catégorisation sémantique fine des expressions d'opinion pour la détection de consensus) [in French] , 2014, DEFT@TALN.

[12]  Nina Wacholder,et al.  Identifying Sarcasm in Twitter: A Closer Look , 2011, ACL.

[13]  D. Sperber,et al.  Irony and the Use-Mention Distinction , 1981 .

[14]  Peter Seibel Syntax and Semantics , 1973 .

[15]  J. Searle Expression and Meaning: Studies in the Theory of Speech Acts , 1979 .

[16]  Richard J. Gerrig,et al.  On the pretense theory of irony. , 1984, Journal of experimental psychology. General.

[17]  Po-Ya Angela Wang #Irony or #Sarcasm — A Quantitative and Qualitative Study Based on Twitter , 2013, PACLIC.

[18]  R. Gibbs Irony in Talk Among Friends , 2000 .

[19]  Ari Rappoport,et al.  ICWSM - A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews , 2010, ICWSM.

[20]  A. Utsumi Stylistic and Contextual Effects in Irony Processing , 2004 .

[21]  Sanda M. Harabagiu,et al.  LCC Tools for Question Answering , 2002, TREC.

[22]  H. Haverkate A speech act analysis of irony , 1990 .

[23]  Philipp Cimiano,et al.  An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews , 2014, WASSA@ACL.

[24]  Ellen Riloff,et al.  Sarcasm as Contrast between a Positive Sentiment and Negative Situation , 2013, EMNLP.

[25]  Paolo Rosso,et al.  SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter , 2015, *SEMEVAL.

[26]  Ari Rappoport,et al.  Semi-Supervised Recognition of Sarcasm in Twitter and Amazon , 2010, CoNLL.

[27]  Paolo Rosso,et al.  Making objective decisions from subjective data: Detecting irony in customer reviews , 2012, Decis. Support Syst..