License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.6.4.1
URN: urn:nbn:de:0030-drops-61500
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6150/
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Quandt, Thorsten ; Shegalov, German ; Sjøvaag, Helle ; Vossen, Gottfried
Weitere Beteiligte (Hrsg. etc.): Thorsten Quandt and German Shegalov and Helle Sjøvaag and Gottfried Vossen

Analysis, Interpretation and Benefit of User-Generated Data: Computer Science Meets Communication Studies (Dagstuhl Seminar 16141)

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dagrep_v006_i004_p001_s16141.pdf (0.8 MB)

Abstract

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".

BibTeX - Entry

@Article{quandt_et_al:DR:2016:6150,
  author =	{Thorsten Quandt and German Shegalov and Helle Sj\ovaag and Gottfried Vossen},
  title =	{{Analysis, Interpretation and Benefit of User-Generated Data: Computer Science Meets Communication Studies (Dagstuhl Seminar 16141)}},
  pages =	{1--15},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{4},
  editor =	{Thorsten Quandt and German Shegalov and Helle Sj\ovaag and Gottfried Vossen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6150},
  URN =		{urn:nbn:de:0030-drops-61500},
  doi =		{10.4230/DagRep.6.4.1},
  annote =	{Keywords: Communication Studies, Text Analysis, NLP, Text Mining, Topic Detection, Senitment Analysis, Machine Learning}
}

Keywords: Communication Studies, Text Analysis, NLP, Text Mining, Topic Detection, Senitment Analysis, Machine Learning
Collection: Dagstuhl Reports, Volume 6, Issue 4
Issue Date: 2016
Date of publication: 05.10.2016

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