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.

Sentiment analysis in Turkish

Gezici, Gizem
;
2018

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.
2018
Settore INF/01 - Informatica
Turkish Natural Language Processing. Theory and Applications of Natural Language Processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/139931
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