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      <dc:title>G-Tweet: tool allowing to detect incidents on Twitter</dc:title>
      <dc:creator>Nebro-Mellado, José Juan</dc:creator>
      <dc:subject>Gestión de empresas - Congresos</dc:subject>
      <dc:description>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]. &#xd;
&#xd;
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.</dc:description>
      <dc:date>2018-07-17T08:35:42Z</dc:date>
      <dc:date>2018-07-17T08:35:42Z</dc:date>
      <dc:date>2018-07-10</dc:date>
      <dc:date>2018-07-17</dc:date>
      <dc:type>conference output</dc:type>
      <dc:identifier>https://hdl.handle.net/10630/16288</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>12th International Conference on Industrial Engineering and Industrial Management. XXII Congreso de Ingeniería de Organización</dc:relation>
      <dc:relation>GIRONA</dc:relation>
      <dc:relation>12-13 JULIO 2018</dc:relation>
      <dc:rights>open access</dc:rights>
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