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On the multilingual and genre robustness of EmoGraphs for author profiling in social media

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On the multilingual and genre robustness of EmoGraphs for author profiling in social media

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Rangel, F.; Rosso, P. (2015). On the multilingual and genre robustness of EmoGraphs for author profiling in social media. En Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings. Springer International Publishing. 274-280. doi:10.1007/978-3-319-24027-5_28

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Título: On the multilingual and genre robustness of EmoGraphs for author profiling in social media
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Author profiling aims at identifying different traits such as age and gender of an author on the basis of her writings. We propose the novel EmoGraph graph-based approach where morphosyntactic categories are enriched with ...[+]
Palabras clave: Author profiling , Age identification , Gender identification , Emotion-labeled graphs , EmoGraph
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-319-24026-8
Fuente:
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-24027-5_28
Editorial:
Springer International Publishing
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-319-24027-5_28
Serie: Lecture Notes in Computer Science;9283
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24027-5_28
Tipo: Capítulo de libro

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