Universität zu Köln

Ziegelmayer, Dominique (2014). Character n-gram-based sentiment analysis. Thesis Abstract, Universität zu Köln.

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Item Type:	Thesis Abstract
Translated title:	Title Language Character n-gram-basierte Sentiment-Analyse German
Creators:	Creators Email ORCID ORCID Put Code Ziegelmayer, Dominique ziegelmayer@zpr.uni-koeln.de UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-57846
Series Name:	Informatik
Date:	October 2014
Publisher:	München: Hut
ISBN:	978-3-8439-1774-2
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects:	Data processing Computer science General statistics Language, Linguistics Mathematics
Uncontrolled Keywords:	Keywords Language sentiment analysis; sentiment polarity classification; classification; information theory; data compression; text analysis; character n-grams; rating inference; cross-domain; domain complexity English Sentiment-Analyse; Stimmungsanalyse; Klassifikation; Informationstheorie; Datenkompression; Textanalyse; Character n-grams; Buchstabensequenzen; Domänenkomplexität German
Date of oral exam:	8 October 2014
Referee:	Name Academic Title Schrader, Rainer Prof. Dr. Speckenmeyer, Ewald Prof. Dr.
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/5784