A framework for sentiment analysis in Turkish application to polarity detection of movie reviews in Turkish

Date

2012-10-28

Author

Vural, Gural
Cambazoglu, Barla
Tokgoz, Özge Zehra
Karagöz, Pınar

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In this work, we present a framework for unsupervised sentiment analysis in Turkish text documents. As part of our framework, we customize the SentiStrength sentiment analysis library by translating its lexicon to Turkish. We apply our framework to the problem of classifying the polarity of movie reviews. For performance evaluation, we use a large corpus of Turkish movie reviews obtained from a popular Turkish social media site. Although our framework is unsupervised, it is demonstrated to achieve a fairly good classification accuracy, approaching the performance of supervised polarity classification techniques.

URI

https://hdl.handle.net/11511/88210

DOI

https://doi.org/10.1007

Conference Name

ISCIS, (28 - 30 Ekim 2012)

Collections

Department of Industrial Design, Conference / Seminar

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Citation Formats

G. Vural, B. Cambazoglu, Ö. Z. Tokgoz, and P. Karagöz, “A framework for sentiment analysis in Turkish application to polarity detection of movie reviews in Turkish,” 2012, p. 437, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/88210.