G-Tweet: tool allowing to detect incidents on Twitter
| dc.centro | Escuela de Ingenierías Industriales | en_US |
| dc.contributor.author | Nebro-Mellado, José Juan | |
| dc.date.accessioned | 2018-07-17T08:35:42Z | |
| dc.date.available | 2018-07-17T08:35:42Z | |
| dc.date.created | 2018-07-10 | |
| dc.date.issued | 2018-07-17 | |
| dc.departamento | Economía y Administración de Empresas | |
| dc.description.abstract | In 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.sponsorship | Universidad de Málaga. Campus de excelencia Internacional Andalucía Tech | en_US |
| dc.identifier.uri | https://hdl.handle.net/10630/16288 | |
| dc.language.iso | eng | en_US |
| dc.relation.eventdate | 12-13 JULIO 2018 | en_US |
| dc.relation.eventplace | GIRONA | en_US |
| dc.relation.eventtitle | 12th International Conference on Industrial Engineering and Industrial Management. XXII Congreso de Ingeniería de Organización | en_US |
| dc.rights.accessRights | open access | en_US |
| dc.subject | Gestión de empresas - Congresos | en_US |
| dc.title | G-Tweet: tool allowing to detect incidents on Twitter | en_US |
| dc.type | conference output | en_US |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | aa61ad70-7e04-4620-b6a7-b7adf89755d0 | |
| relation.isAuthorOfPublication.latestForDiscovery | aa61ad70-7e04-4620-b6a7-b7adf89755d0 |
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