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          <dc:title>Analysis, Interpretation and Benefit of User-Generated Data: Computer Science Meets Communication Studies (Dagstuhl Seminar 16141)</dc:title>
          <dc:creator>Quandt, Thorsten</dc:creator>
          <dc:creator>Shegalov, German</dc:creator>
          <dc:creator>Sjøvaag, Helle</dc:creator>
          <dc:creator>Vossen, Gottfried</dc:creator>
          <dc:subject>Communication Studies</dc:subject>
          <dc:subject>Text Analysis</dc:subject>
          <dc:subject>NLP</dc:subject>
          <dc:subject>Text Mining</dc:subject>
          <dc:subject>Topic Detection</dc:subject>
          <dc:subject>Senitment Analysis</dc:subject>
          <dc:subject>Machine Learning</dc:subject>
          <dc:description>This report documents the program and the outcomes of Dagstuhl Seminar 16141 "Analysis, Interpretation and Benefit of User-Generated Data: Computer Science Meets Communication Studies".</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Thorsten Quandt and German Shegalov and Helle Sjøvaag and Gottfried Vossen</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 6, Issue 4 (2016)</dc:relation>
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