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A multidimensional approach for detecting irony in Twitter

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A multidimensional approach for detecting irony in Twitter

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Reyes Pérez, A.; Rosso ., P.; Veale, T. (2013). A multidimensional approach for detecting irony in Twitter. Language Resources and Evaluation. 47(1):239-268. https://doi.org/10.1007/s10579-012-9196-x

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Título: A multidimensional approach for detecting irony in Twitter
Autor: Reyes Pérez, Antonio Rosso ., Paolo Veale, Tony
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Irony is a pervasive aspect of many online texts, one made all the more difficult by the absence of face-to-face contact and vocal intonation. As our media increasingly become more social, the problem of irony detection ...[+]
Palabras clave: Irony detection , Figurative language processing , Negation , Web text analysis
Derechos de uso: Cerrado
Fuente:
Language Resources and Evaluation. (issn: 1574-020X ) (eissn: 1574-0218 )
DOI: 10.1007/s10579-012-9196-x
Editorial:
Springer Netherlands
Versión del editor: http://dx.doi.org/10.1007/s10579-012-9196-x
Código del Proyecto:
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/
info:eu-repo/grantAgreement/EC/FP7/grant no. 269180/EU/
Agradecimientos:
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 ...[+]
Tipo: Artículo

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