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

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