Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleSecond Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES 2018)es_ES
UDC.departamentoLetrases_ES
UDC.endPage128es_ES
UDC.grupoInvLingua e Sociedade da Información (LYS)es_ES
UDC.journalTitleProceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Mediaes_ES
UDC.startPage123es_ES
dc.contributor.authorVilares, David
dc.contributor.authorGómez-Rodríguez, Carlos
dc.date.accessioned2024-05-29T12:13:40Z
dc.date.available2024-05-29T12:13:40Z
dc.date.issued2018-06
dc.descriptionHeld 6 June 2018, New Orleans, Louisiana, USA.es_ES
dc.description.abstract[Absctract]: The usage of part-of-day nouns, such as ‘night’, and their time-specific greetings (‘good night’), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics of these terms and its variability between countries. We mine a worldwide sample of multilingual tweets with temporal greetings, and study how their frequencies vary in relation with local time. The results provide insights into the semantics of these temporal expressions and the cultural and sociological factors influencing their usage.es_ES
dc.description.sponsorshipDV and CGR receive funding from the European Research Council (ERC), under the European Union’s Horizon 2020 research and innovation programme (FASTPARSE, grant agreement No 714150), from the TELEPARESUDC project (FFI2014-51978-C2-2-R) and the ANSWER-ASAP project (TIN2017-85160-C2-1- R) from MINECO, and from Xunta de Galicia (ED431B 2017/01).es_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2017/01es_ES
dc.identifier.citationDavid Vilares and Carlos Gómez-Rodríguez. 2018. Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter. In Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media, pages 123–128, New Orleans, Louisiana, USA. Association for Computational Linguistics.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/36704
dc.language.isoenges_ES
dc.publisherAssociation for Computational Linguisticses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/714150es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FFI2014-51978-C2-2-R/ES/TECNOLOGÍAS DE LA LENGUA PARA ANÁLISIS DE OPINIONES EN REDES SOCIALES: DEL TEXTO AL MICROTEXTOes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85160-C2-1-R/ES/AVANCES EN NUEVOS SISTEMAS DE EXTRACCION DE RESPUESTAS CON ANALISIS SEMANTICO Y APRENDIZAJE PROFUNDOes_ES
dc.relation.urihttps://aclanthology.org/W18-1116/es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectCross-lingual analysises_ES
dc.subjectSocial media mininges_ES
dc.subjectMultilingual tweetses_ES
dc.subjectCultural linguisticses_ES
dc.subjectTemporal expressionses_ES
dc.titleGrounding the Semantics of Part-of-Day Nouns Worldwide using Twitteres_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication37dabbe9-f54f-43bb-960e-0bf3ac7e54eb
relation.isAuthorOfPublicatione70a3969-39f6-4458-9339-3b71756fa56e
relation.isAuthorOfPublication.latestForDiscovery37dabbe9-f54f-43bb-960e-0bf3ac7e54eb

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