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2013 | OriginalPaper | Chapter

Emotion Analysis on Turkish Texts

Authors : Z. Boynukalin, P. Karagoz

Published in: Information Sciences and Systems 2013

Publisher: Springer International Publishing

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Abstract

Automatically analyzing the user’s emotion from his/her texts has been gaining interest as a research field. Emotion classification of English texts is studied by several researchers and promising results have been achieved. In this work, an emotion classification study on Turkish texts is presented. To the best of our knowledge, this is the first study conducted on emotion classification for Turkish texts. Due to the nature of Turkish language, several pruning tasks are applied and new features are constructed in order to improve the emotion classification accuracy. We compared the performance of several classification algorithms for emotion analysis and reported the results.

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previous chapter A Fully Semantic Approach to Large Scale Text Categorization
next chapter A Comparative Study to Determine the Effective Window Size of Turkish Word Sense Disambiguation Systems
Footnotes
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http://www.devdaily.com/java/jwarehouse/lucene/contrib/analyzers/common/
 
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Metadata
Title
Emotion Analysis on Turkish Texts
Authors
Z. Boynukalin
P. Karagoz
Copyright Year
2013
Book
Information Sciences and Systems 2013

Print ISBN: 978-3-319-01603-0

Electronic ISBN: 978-3-319-01604-7

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-319-01604-7_16

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