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On the Impact of Emotions on Author Profiling

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On the Impact of Emotions on Author Profiling

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dc.contributor.author Rangel-Pardo, Francisco Manuel es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2017-05-31T11:11:13Z
dc.date.available 2017-05-31T11:11:13Z
dc.date.issued 2016-01
dc.identifier.issn 0306-4573
dc.identifier.uri http://hdl.handle.net/10251/82089
dc.description This is the author’s version of a work that was accepted for publication in Information Processing and Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Processing and Management 52 (2016) 73–92. DOI 10.1016/j.ipm.2015.06.003. es_ES
dc.description.abstract [EN] In this paper, we investigate the impact of emotions on author profiling, concretely identifying age and gender. Firstly, we propose the EmoGraph method for modelling the way people use the language to express themselves on the basis of an emotion-labelled graph. We apply this representation model for identifying gender and age in the Spanish partition of the PAN-AP-13 corpus, obtaining comparable results to the best performing systems of the PAN Lab of CLEF. © 2015 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship The work of the first author was partially funded by Autoritas Consulting SA and by Spanish Ministry of Economics under grant ECOPORTUNITY IPT-2012-1220-430000. The work of the second author was carried out in the framework of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie, the DIANA APPLICATIONS: Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. A special mention to Maria Dolores Rangel Pardo for her linguistic contribution to this investigation. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Information Processing and Management es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Affective processing es_ES
dc.subject Author profiling es_ES
dc.subject Emotion-labelled graphs es_ES
dc.subject EmoGraph es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title On the Impact of Emotions on Author Profiling es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ipm.2015.06.003
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//IPT-2012-1220-430000/ES/ECOPORTUNITY/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Rangel-Pardo, FM.; Rosso, P. (2016). On the Impact of Emotions on Author Profiling. Information Processing and Management. 52(1):73-92. https://doi.org/10.1016/j.ipm.2015.06.003 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.ipm.2015.06.003 es_ES
dc.description.upvformatpinicio 73 es_ES
dc.description.upvformatpfin 92 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 52 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 326673 es_ES
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad


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