Detecting environmentally-related problems on Twitter

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dc.contributor.affiliationDepartamento de Lingüística Aplicada
dc.contributor.affiliationEscuela Politécnica Superior de Gandia
dc.contributor.affiliationGrupo de Análisis de las Lenguas de Especialidad (GALE)
dc.contributor.authorPeriñán-Pascual, Carlos
dc.contributor.authorArcas-Túnez, Franciscoes_ES
dc.contributor.funderMinisterio de Economía y Competitividades_ES
dc.contributor.funderMinisterio de Economía, Industria y Competitividades_ES
dc.date.accessioned2023-02-28T19:00:53Z
dc.date.available2023-02-28T19:00:53Z
dc.date.issued2019-01es_ES
dc.description.abstract[EN] Social media networks such as Facebook and Twitter can be used as a valuable tool to report on environmentally-related problems, e.g. landslides or wildfires, that are about to occur or have just occurred, so that response actions can be promptly executed. The goal of this article is to describe a knowledge-based system that is able to analyse tweets in Spanish to detect a variety of such problems. This research resulted in the implementation of CASPER, a proof-of-concept workbench where multi-domain problem detection has been devised as a two-fold task: topic categorisation and sentiment analysis. (C) 2018 IAgrE. Published by Elsevier Ltd. All rights reserved.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationPeriñán-Pascual, C.; Arcas-Túnez, F. (2019). Detecting environmentally-related problems on Twitter. Biosystems Engineering. 177:31-48. https://doi.org/10.1016/j.biosystemseng.2018.10.001es_ES
dc.description.sponsorshipFinancial support for this research has been provided by the Spanish Ministry of Economy, Industry and Competitiveness [grant number TIN2016-78799-P] (AEI/FEDER, EU) and by the Spanish Ministry of Education and Science [grant number FFI2014-53788-C3-1-P]es_ES
dc.description.upvformatpfin48es_ES
dc.description.upvformatpinicio31es_ES
dc.description.volume177es_ES
dc.identifier.doi10.1016/j.biosystemseng.2018.10.001es_ES
dc.identifier.issn1537-5110es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/192165
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.ispartofBiosystems Engineeringes_ES
dc.relation.pasarelaS\404513es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//FFI2014-53788-C3-1-P//Desarrollo de un laboratorio virtual para el procesamiento computacional del lenguaje natural desde un paradigma funcional/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2016-78799-13/es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.biosystemseng.2018.10.001es_ES
dc.relation.references10.9781/ijimai.2014.254es_ES
dc.relation.references10.1111/j.1467-9671.2012.01359.xes_ES
dc.relation.references10.1518/001872095779049543es_ES
dc.relation.references10.1016/j.asej.2016.01.012es_ES
dc.relation.references10.3390/ijgi4031549es_ES
dc.relation.references10.1111/1475-6765.00009es_ES
dc.relation.references10.1371/journal.pone.0144296es_ES
dc.relation.references10.1111/j.1939-9162.2010.00006.xes_ES
dc.relation.references10.1017/S1351324906004505es_ES
dc.relation.references10.1007/s10579-017-9394-7es_ES
dc.relation.references10.1109/TKDE.2012.29es_ES
dc.relation.references10.1162/COLI_a_00049es_ES
dc.relation.references10.1177/0165551514561652es_ES
dc.relation.references10.1023/A:1001175424222es_ES
dc.relation.references10.1109/MIS.2012.6es_ES
dc.relation.references10.1080/10584609.2012.671234es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectTwitteres_ES
dc.subjectSocial sensores_ES
dc.subjectProblem detectiones_ES
dc.subjectTopic categorisationes_ES
dc.subjectSentiment analysises_ES
dc.subject.classificationFILOLOGIA INGLESAes_ES
dc.titleDetecting environmentally-related problems on Twitteres_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier188373
person.identifier.orcid0000-0002-6483-4712
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