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On the Identification of Emotions and Authors' Gender in Facebook Comments on the Basis of their Writing Style

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On the Identification of Emotions and Authors' Gender in Facebook Comments on the Basis of their Writing Style

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dc.contributor.author Rangel, Francisco es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2014-06-13T08:13:53Z
dc.date.issued 2013
dc.identifier.issn 1613-0073
dc.identifier.uri http://hdl.handle.net/10251/38110
dc.description.abstract [EN] In this paper, we propose a method for automatic identifying emotions in written texts in social media with high proliferation such as Facebook. For that task we try to model the way people use the language to express themselves, and also use this model for identifying the gender of the authors. We focused on Spanish due to the lack of studies and resources in that language. es_ES
dc.description.sponsorship The work of the first author was partially funded by Autoritas Consulting SA and by Ministerio de Econom´ıa de Espa˜na 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.
dc.format.extent 13 es_ES
dc.language Inglés es_ES
dc.publisher CEUR Workshop Proceedings es_ES
dc.relation.ispartof CEUR Workshop Proceedings es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Affective processing es_ES
dc.subject Emotion identification es_ES
dc.subject Gender identification es_ES
dc.subject Spanish Facebook es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title On the Identification of Emotions and Authors' Gender in Facebook Comments on the Basis of their Writing Style es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
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. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Rangel, F.; Rosso, P. (2013). On the Identification of Emotions and Authors' Gender in Facebook Comments on the Basis of their Writing Style. CEUR Workshop Proceedings. 1096:34-46. http://hdl.handle.net/10251/38110 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename First International Workshop on Emotion and Sentiment in Social and Expressive Media AI (ESSEM 2013 es_ES
dc.relation.conferencedate December 3, 2013 es_ES
dc.relation.conferenceplace Turin, Italy es_ES
dc.relation.publisherversion http://ceur-ws.org/Vol-1096/paper3.pdf es_ES
dc.description.upvformatpinicio 34 es_ES
dc.description.upvformatpfin 46 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1096 es_ES
dc.relation.senia 255838
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad


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