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EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis
dc.contributor.author | Vilares, David | |
dc.contributor.author | Alonso, Miguel A. | |
dc.contributor.author | Gómez-Rodríguez, Carlos | |
dc.date.accessioned | 2024-01-17T18:29:42Z | |
dc.date.available | 2024-01-17T18:29:42Z | |
dc.date.issued | 2016-05 | |
dc.identifier.citation | David Vilares, Miguel A. Alonso, and Carlos Gómez-Rodríguez. 2016. EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4149–4153, Portorož, Slovenia. European Language Resources Association (ELRA). | es_ES |
dc.identifier.isbn | 978-2-9517408-9-1 | |
dc.identifier.uri | http://hdl.handle.net/2183/34966 | |
dc.description.abstract | [Abstract]: Code-switching texts are those that contain terms in two or more different languages, and they appear increasingly often in social media. The aim of this paper is to provide a resource to the research community to evaluate the performance of sentiment classification techniques on this complex multilingual environment, proposing an English-Spanish corpus of tweets with code-switching (EN-ES-CS CORPUS). The tweets are labeled according to two well-known criteria used for this purpose: SentiStrength and a trinary scale (positive, neutral and negative categories). Preliminary work on the resource is already done, providing a set of baselines for the research community. | es_ES |
dc.description.sponsorship | This research is supported by the Ministerio de Economía y Competitividad (FFI2014-51978-C2) and Xunta de Galicia (R2014/034). David Vilares is funded by the Ministerio de Educación, Cultura y Deporte (FPU13/01180). Carlos Gómez-Rodríguez is funded by an Oportunius program grant. | es_ES |
dc.description.sponsorship | Xunta de Galicia; R2014/034 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | European Language Resources Association (ELRA) | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FFI2014-51978-C2-1-R/ES/TECNOLOGIAS DE LA LENGUA PARA ANALISIS DE OPINIONES EN REDES SOCIALES | es_ES |
dc.relation | info:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU13%2F01180/ES/ | es_ES |
dc.relation.uri | https://aclanthology.org/L16-1655/ | es_ES |
dc.rights | Atribución-NoComercial 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.subject | Sentiment Analysis | es_ES |
dc.subject | Corpus Generation | es_ES |
dc.subject | Code-Switching | es_ES |
dc.title | EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.startPage | 4149 | es_ES |
UDC.endPage | 4153 | es_ES |
UDC.conferenceTitle | LREC 2016, Tenth International Conference on Language Resources and Evaluation | es_ES |