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Making objective decisions from subjective data: Detecting irony in customers reviews

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Making objective decisions from subjective data: Detecting irony in customers reviews

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Reyes Pérez, A.; Rosso, P. (2012). Making objective decisions from subjective data: Detecting irony in customers reviews. Decision Support Systems. 53(4):754-760. doi:10.1016/j.dss.2012.05.027

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35313

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Title: Making objective decisions from subjective data: Detecting irony in customers reviews
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] The research described in this work focuses on identifying key components for the task of irony detection. By means of analyzing a set of customer reviews, which are considered ironic both in social and mass media, ...[+]
Subjects: Humor recognition , Irony detection , Natural language processing , Web text analysis
Copyrigths: Reserva de todos los derechos
Source:
Decision Support Systems. (issn: 0167-9236 )
DOI: 10.1016/j.dss.2012.05.027
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.dss.2012.05.027
Project ID: info:eu-repo/grantAgreement/EC/FP7/269180
Thanks:
The National Council for Science and Technology (CONACyT - Mexico) has funded the research of the first author. The European Commission as part of the WIQEI IRSES-Project (grant no. 269180) within the FP 7 Marie Curie ...[+]
Type: Artículo

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