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dc.contributor.authorNebro-Mellado, José Juan 
dc.date.accessioned2018-07-17T08:35:42Z
dc.date.available2018-07-17T08:35:42Z
dc.date.created2018-07-10
dc.date.issued2018-07-17
dc.identifier.urihttps://hdl.handle.net/10630/16288
dc.description.abstractIn this Paper we show how we have tackled the problem of bad opinions about a waste company services on Twitter [1]. We classified the tweets in two types, inci-dents: tweets that the company can fix, and opinions [2]. In the first phase our research consisted in development of computer algorithms capa-ble of detecting incidents published by citizens on Twitter, and in the second phase we managed the collected information to improve the service and control of citizen perception.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de excelencia Internacional Andalucía Techen_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGestión de empresas - Congresosen_US
dc.titleG-Tweet: tool allowing to detect incidents on Twitteren_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroEscuela de Ingenierías Industrialesen_US
dc.relation.eventtitle12th International Conference on Industrial Engineering and Industrial Management. XXII Congreso de Ingeniería de Organizaciónen_US
dc.relation.eventplaceGIRONAen_US
dc.relation.eventdate12-13 JULIO 2018en_US


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