G-Tweet: tool allowing to detect incidents on Twitter

dc.centroEscuela de Ingenierías Industrialesen_US
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.departamentoEconomía y Administración de Empresas
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.identifier.urihttps://hdl.handle.net/10630/16288
dc.language.isoengen_US
dc.relation.eventdate12-13 JULIO 2018en_US
dc.relation.eventplaceGIRONAen_US
dc.relation.eventtitle12th International Conference on Industrial Engineering and Industrial Management. XXII Congreso de Ingeniería de Organizaciónen_US
dc.rights.accessRightsopen accessen_US
dc.subjectGestión de empresas - Congresosen_US
dc.titleG-Tweet: tool allowing to detect incidents on Twitteren_US
dc.typeconference outputen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationaa61ad70-7e04-4620-b6a7-b7adf89755d0
relation.isAuthorOfPublication.latestForDiscoveryaa61ad70-7e04-4620-b6a7-b7adf89755d0

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
gerona.pdf
Size:
3.66 MB
Format:
Adobe Portable Document Format
Description: