A Framework for Sentiment Analysis in Turkish: Application to Polarity Detection of Movie Reviews in Turkish
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.
KeywordsExtractor Suffix Hate Amaz
This work is supported by grant number TUBITAK-112E002, TUBITAK. We thank Umut Erogul for providing us the data.
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