Ziegelmayer, Dominique (2014). Character n-gram-based sentiment analysis. [Thesis Abstract]

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Item Type: Thesis Abstract
Translated title:
TitleLanguage
Character n-gram-basierte Sentiment-AnalyseGerman
Creators:
CreatorsEmailORCID
Ziegelmayer, Dominiqueziegelmayer@zpr.uni-koeln.deUNSPECIFIED
URN: urn:nbn:de:hbz:38-57846
Series Name at the University of Cologne: Informatik
Publisher: München: Hut
ISBN: 978-3-8439-1774-2
Subjects: Data processing Computer science
General statistics
Language, Linguistics
Mathematics
Uncontrolled Keywords:
KeywordsLanguage
sentiment analysis; sentiment polarity classification; classification; information theory; data compression; text analysis; character n-grams; rating inference; cross-domain; domain complexityEnglish
Sentiment-Analyse; Stimmungsanalyse; Klassifikation; Informationstheorie; Datenkompression; Textanalyse; Character n-grams; Buchstabensequenzen; DomänenkomplexitätGerman
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Institute of Computer Science
Language: English
Date: October 2014
Date of oral exam: 8 October 2014
Referee:
NameAcademic Title
Schrader, RainerProf. Dr.
Speckenmeyer, EwaldProf. Dr.
Full Text Status: None
Date Deposited: 05 Nov 2014 10:13
URI: http://kups.ub.uni-koeln.de/id/eprint/5784

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