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Language identification of multilingual posts from Twitter: a case study

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Language identification of multilingual posts from Twitter: a case study

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Pla Santamaría, F.; Hurtado Oliver, LF. (2016). Language identification of multilingual posts from Twitter: a case study. Knowledge and Information Systems. 51(3):965-989. https://doi.org/10.1007/s10115-016-0997-x

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Título: Language identification of multilingual posts from Twitter: a case study
Autor: Pla Santamaría, Ferran Hurtado Oliver, Lluis Felip
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
This paper describes a method for handling multi-class and multi-label classification problems based on the support vector machine formalism. This method has been applied to the language identification problem in Twitter. ...[+]
Palabras clave: Natural language processing , Language identification , Multi-label classification , Support vector machines , Twitter
Derechos de uso: Reserva de todos los derechos
Fuente:
Knowledge and Information Systems. (issn: 0219-1377 )
DOI: 10.1007/s10115-016-0997-x
Editorial:
Springer Verlag (Germany)
Versión del editor: http://dx.doi.org/10.1007/s10115-016-0997-x
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TIN2014-54288-C4-3-R/ES/PROCESADO DE AUDIO, HABLA Y LENGUAJE PARA ANALISIS DE INFORMACION MULTIMEDIA/
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/s10115-016-0997-x
Agradecimientos:
This work has been partially funded by the project ASLP-MULAN: Audio, Speech and Language Processing for Multimedia Analytics (MINECO TIN2014-54288-C4-3-R).
Tipo: Artículo

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