A Framework for Sentiment Analysis in Turkish: Application to Polarity Detection of Movie Reviews in Turkish

  • A. Gural Vural
  • B. Barla Cambazoglu
  • Pinar Senkul
  • Z. Ozge Tokgoz
Conference paper

DOI: 10.1007/978-1-4471-4594-3_45

Cite this paper as:
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: Gelenbe E., Lent R. (eds) Computer and Information Sciences III. Springer, London

Abstract

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.

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • A. Gural Vural
    • 1
  • B. Barla Cambazoglu
    • 2
  • Pinar Senkul
    • 1
  • Z. Ozge Tokgoz
    • 1
  1. 1.Middle East Technical UniversityAnkaraTurkey
  2. 2.Yahoo! ResearchBarcelonaSpain