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Detection of opinion spam with character n-grams

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Detection of opinion spam with character n-grams

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Hernández Fusilier, D.; Montes Gomez, M.; Rosso, P.; Guzmán Cabrera, R. (2015). Detection of opinion spam with character n-grams. En Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II. Springer International Publishing. 285-294. https://doi.org/10.1007/978-3-319-18117-2_21

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Metadatos del ítem

Título: Detection of opinion spam with character n-grams
Autor: Hernández Fusilier, Donato Montes Gomez, Manuel Rosso, Paolo Guzmán Cabrera, Rafael
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
In this paper we consider the detection of opinion spam as a stylistic classi cation task because, given a particular domain, the deceptive and truthful opinions are similar in content but di ffer in the way opinions are ...[+]
Palabras clave: Opinion spam , Deceptive detection , Character n-grams , Word n-grams
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-319-18116-5
Fuente:
Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part II. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-18117-2_21
Editorial:
Springer International Publishing
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-319-18117-2_21
Serie: Lecture Notes in Computer Science;9042
Código del Proyecto:
info:eu-repo/grantAgreement/LACCIR//R1212LAC006/
info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-18117-2_21
Agradecimientos:
This work is the result of the collaboration in the frame-work of the WIQEI IRSES project (Grant No. 269180) within the FP7 Marie Curie. The second author was partially supported by the LACCIR programme under project ID ...[+]
Tipo: Capítulo de libro

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