Sentiment analysis in Turkish

Gezici, Gizem and Yanıkoğlu, Berrin (2018) Sentiment analysis in Turkish. In: Oflazer, Kemal and Saraçlar, Murat, (eds.) Turkish Natural Language Processing. Theory and Applications of Natural Language Processing. Springer International Publishing, Switzerland, pp. 255-271. ISBN 978-3-319-90163-3 (Print) 978-3-319-90165-7 (Online)

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In this chapter, we give an overview of sentiment analysis problem and present a system to estimate the sentiment of movie reviews in Turkish. Our approach combines supervised learning and lexicon-based approaches, making use of a recently constructed Turkish polarity lexicon called SentiTurkNet. For performance evaluation, we investigate the contribution of different feature sets, as well as the effect of lexicon size on the overall classification performance.
Item Type: Book Section / Chapter
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 06 Sep 2018 16:11
Last Modified: 07 Sep 2018 09:54

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