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From humor recognition to Irony detection: The figurative language of social media

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From humor recognition to Irony detection: The figurative language of social media

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dc.contributor.author Reyes Pérez, Antonio es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.contributor.author Buscaldi, Davide es_ES
dc.date.accessioned 2014-02-03T09:12:56Z
dc.date.issued 2012-04
dc.identifier.issn 0169-023X
dc.identifier.uri http://hdl.handle.net/10251/35314
dc.description.abstract [EN] The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused on describing a model for recognizing these phenomena in social media, such as "tweets". Our experiments are centered on five data sets retrieved from Twitter taking advantage of user-generated tags, such as "#humor" and "#irony". The model, which is based on textual features, is assessed on two dimensions: representativeness and relevance. The results, apart from providing some valuable insights into the creative and figurative usages of language, are positive regarding humor, and encouraging regarding irony. (C) 2012 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship This work has been done in the framework of the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems and it has been partially funded by the European Commission as part of the WIQEI IRSES project (grant no. 269180) within the FP 7 Marie Curie People Framework, and by MICINN as part of the Text-Enterprise 2.0 project (TIN2009-13391-C04-03) within the Plan I + D + I. The National Council for Science and Technology (CONACyT - Mexico) has funded the research work of Antonio Reyes. en_EN
dc.format.extent 12 es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Data and Knowledge Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Humor recognition es_ES
dc.subject Irony detection es_ES
dc.subject Natural language processing es_ES
dc.subject Web text analysis es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title From humor recognition to Irony detection: The figurative language of social media es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.datak.2012.02.005
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2009-13391-C04-03/ES/Text-Enterprise 2.0: Tecnicas De Comprension De Textos Aplicadas A Las Necesidades De La Empresa 2.0/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Reyes Pérez, A.; Rosso, P.; Buscaldi, D. (2012). From humor recognition to Irony detection: The figurative language of social media. Data and Knowledge Engineering. 74:1-12. https://doi.org/10.1016/j.datak.2012.02.005 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/ 10.1016/j.datak.2012.02.005 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 74 es_ES
dc.relation.senia 232472
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Consejo Nacional de Ciencia y Tecnología, México


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