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Sentiment analysis in Turkish at different granularity levels

Published online by Cambridge University Press:  21 October 2016

RAHIM DEHKHARGHANI ,
BERRIN YANIKOGLU ,
YUCEL SAYGIN  and
KEMAL OFLAZER
RAHIM DEHKHARGHANI
Affiliation:
University of Bonab, Bonab, Iran e-mail: [email protected]
BERRIN YANIKOGLU
Affiliation:
Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey e-mails: [email protected], [email protected]
YUCEL SAYGIN
Affiliation:
Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey e-mails: [email protected], [email protected]
KEMAL OFLAZER
Affiliation:
Carnegie Mellon University – Qatar, Doha, Qatar e-mail: [email protected]
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Abstract

Sentiment analysis has attracted a lot of research interest in recent years, especially in the context of social media. While most of this research has focused on English, there is ample data and interest in the topic for many other languages, as well. In this article, we propose a comprehensive sentiment analysis system for Turkish. We cover different levels of sentiment analysis such as aspect, sentence, and document levels as well as some linguistic issues such as conjunction and intensification in Turkish sentiment analysis. Our system is evaluated on Turkish movie reviews and the obtained accuracies range from sixty per cent to seventy-nine per cent in ternary and binary classification tasks at different levels of analysis.

Type
Articles
Information
Natural Language Engineering , Volume 23 , Issue 4 , July 2017 , pp. 535 - 559
Copyright
Copyright © Cambridge University Press 2016 

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