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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Official URL: http://dx.doi.org/10.1007/978-3-319-90165-7_12
Abstract
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 |
| URI: | https://research.sabanciuniv.edu/id/eprint/36554 |
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Sentiment analysis in Turkish. (deposited 14 Dec 2014 13:42)
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