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. © 2013 Springer-Verlag London.
CITATION STYLE
Vural, A. G., Cambazoglu, B. B., Senkul, P., & Tokgoz, Z. O. (2013). A framework for sentiment analysis in Turkish: Application to polarity detection of movie reviews in Turkish. In Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012 (pp. 437–445). Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4471-4594-3_45
Mendeley helps you to discover research relevant for your work.