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Computer and Information Sciences III pp 437–445Cite as

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

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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.

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Notes

  1. 1.

    There is both a positive and a negative score because the input text may contain sentiments in both directions (e.g., “I love you, but I also hate you.”) [8].

  2. 2.

    SentiStrength, http://sentistrength.wlv.ac.uk/.

  3. 3.

    We do not consider the neutral class and break the ties in favor of the negative class.

  4. 4.

    Zemberek 2, http://code.google.com/p/zemberek/.

  5. 5.

    We use “_NOT_” as the keyword.

  6. 6.

    Use -explain option to obtain the sentiment scores of individual words in the text.

  7. 7.

    Beyazperde, http://www.beyazperde.com

References

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Acknowledgments

This work is supported by grant number TUBITAK-112E002, TUBITAK. We thank Umut Erogul for providing us the data.

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Authors and Affiliations

  1. Middle East Technical University, Ankara, Turkey

    A. Gural Vural, Pinar Senkul & Z. Ozge Tokgoz

  2. Yahoo! Research, Barcelona, Spain

    B. Barla Cambazoglu

Authors
  1. A. Gural Vural
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  2. B. Barla Cambazoglu
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  3. Pinar Senkul
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  4. Z. Ozge Tokgoz
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Corresponding author

Correspondence to A. Gural Vural .

Editor information

Editors and Affiliations

  1. , Dept of Electrical and Electronics Eng'g, Imperial College, London, SW7 2BT, United Kingdom

    Erol Gelenbe

  2. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Ricardo Lent

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© 2013 Springer-Verlag London

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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. https://doi.org/10.1007/978-1-4471-4594-3_45

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  • DOI: https://doi.org/10.1007/978-1-4471-4594-3_45

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4593-6

  • Online ISBN: 978-1-4471-4594-3

  • eBook Packages: EngineeringEngineering (R0)

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