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oai:riuma.uma.es:10630/162882026-02-03T12:20:30Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Nebro-Mellado, José Juan author 2018-07-17 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. https://hdl.handle.net/10630/16288 Gestión de empresas - Congresos G-Tweet: tool allowing to detect incidents on Twitter