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Erschienen in:
Turkish and Its Challenges for Language and Speech Processing Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

12. Sentiment Analysis in Turkish

verfasst von : Gizem Gezici, Berrin Yanıkoğlu

Erschienen in: Turkish Natural Language Processing

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Machine Translation Between Turkic Languages
Nächstes Kapitel The Turkish Treebank
Fußnoten
1
www.​tripadvisor.​com (Accessed Sept. 14, 2017).
 
2
www.​imdb.​com (Accessed Sept. 14, 2017).
 
3
www.​amazon.​com (Accessed Sept. 14, 2017).
 
4
www.​beyazperde.​com (Accessed Sept. 14, 2017).
 
5
We label these as follows in this chapter: a—adjective, n—noun, v—verb, and b—adverb.
 
6
Reviewers on Beyazperde rate movies star ratings of 1–5 scale, in addition to the review they enter.
 
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Metadaten
Titel
Sentiment Analysis in Turkish
verfasst von
Gizem Gezici
Berrin Yanıkoğlu
Copyright-Jahr
2018
Buch
Turkish Natural Language Processing

Print ISBN: 978-3-319-90163-3

Electronic ISBN: 978-3-319-90165-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-90165-7_12

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