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ORCIDDirk Reinel
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- affiliation: Hochschule Hof, Germany
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2010 – 2019
- 2018
[b1]Dirk Reinel:
Korpusbasierte Verfahren zur Generierung lexikalischer Ressourcen für das Opinion Mining. Statistische Ansätze und deren Einsatzmöglichkeiten. University of Bamberg, Germany, 2018, ISBN 978-3-86309-593-2, pp. 1-157- [c4]Dirk Reinel, Jörg Scheidt, Andreas Henrich, Niko Brucker:
Sentiment phrase generation using statistical methods. SAC 2018: 452-460 - 2014
- [j2]Sven Rill, Dirk Reinel, Jörg Scheidt, Roberto V. Zicari:
PoliTwi: Early detection of emerging political topics on twitter and the impact on concept-level sentiment analysis. Knowl. Based Syst. 69: 24-33 (2014) - 2013
- [j1]Dirk Reinel:
Bericht zur Herbstschule "Information Retrieval" 2012. Datenbank-Spektrum 13(2): 151-152 (2013) - [c3]Florian Wogenstein, Johannes Drescher, Dirk Reinel, Sven Rill, Jörg Scheidt:
Evaluation of an algorithm for aspect-based opinion mining using a lexicon-based approach. WISDOM 2013: 5:1-5:8 - [c2]Dirk Reinel:
Evaluation der Qualität lexikalischer Ressourcen zur Stimmungserkennung in literarischen Texten. LWA 2013: 168-172 - 2012
- [c1]Sven Rill, Sven Adolph, Johannes Drescher, Dirk Reinel, Jörg Scheidt, Oliver Schütz, Florian Wogenstein, Roberto V. Zicari, Nikolaos Korfiatis:
A phrase-based opinion list for the German language. KONVENS 2012: 305-313
Coauthor Index
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