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Year 2018, Volume: 6 Issue: 2, 94 - 98, 30.04.2018
https://doi.org/10.17694/bajece.419547

Abstract

References

  • [1] B. Liu, Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers, 2012. [2] S.E. Şeker, "Duygu Analizi (Sentimental Analysis)", YBS Ansiklopedi, 2016, pp.21-36. [3] B. Pang, L. Lee, S. Vaithyanathan, "Thumbs up? Sentiment Classifıcation Using Machine Leaming Techniques", Proceedings of EMNLP 2002, pp. 79-86, 2002. [4] T. Nasukawa and J. Yi, "Sentiment Analysis: Capturing favorability using natural language processing", Proceedings of the 2nd international conference on Knowledge capture, Sanibel Island, FL, USA, 2003. [5] K. Dave, S. Lawrence, and M. P. David, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews", Proceedings of the 12th international conference on World Wide Web, ACM, 2003. [6] T. Kaşıkçı, H. Gökçen, "Metin Madenciliği İle E-Ticaret Sitelerinin Belirlenmesi, Bilişim Teknolojileri Dergisi", 7(1), 2014, pp. 25-32. [7] S.E. Şeker, Sınıflandırma, 08 December 2017. [Online]. Available: http://bilgisayarkavramlari.sadievrenseker.com [8] T. Parlar, Feature Selection for Sentiment Analysis in Turkish Texts, Published Ph.D. Thesis, Adana, 2016. [9] E. Evirgen, Sentiment Analysis of Turkish Tweets, Published Master's Thesis, İstanbul, 2016. [10] B. Kama, Feature Based Sentiment Analysis on Informal Turkish Texts, Published Master's Thesis, Ankara, 2016. [11] S. Demirci, Sentiment Analysis on Turkish tweets, Published Master's Thesis, Ankara, 2014. [12] H. Çelik, Sentiment Analysis for Turkish Language, Published Master's Thesis, İstanbul, 2013. [13] Z. Boynukalın, Sentiment Analysis of Turkish Texts by Using Machine Learning Methods, Published Master's Thesis, Ankara, 2012. [14] İ. Yelmen, Sentiment Analysis on Turkish Social Media Data with Natural Language Processing Methods, Published Master's Thesis, İstanbul, 2016. [15] Ö. Çoban, Turkish Twitter Feelings Analysis with Text Classification Techniques, Published Master's Thesis, Erzurum, 2016. [16] B. A. Kaplan, Sentiment Analysis on Turkish Twitter Messages by Using Data Mining, Published Master's Thesis, İstanbul, 2016. [17] E. A. Yurt, Sentiment Analysis in Turkish Documents, Published Master's Thesis, İstanbul, 2015. [18] C. TÜRKMENOĞLU, Sentiment Analysis in Turkish Texts, Published Master's Thesis, İstanbul, 2015. [19] F. Akba, Assesment of Feature Selection Metrics for Sentiment Analysis: Turkish Movie Reviews, Published Master's Thesis, Ankara, 2014. [20] M. Nanğır, Classification of Emotions with Multiple Classifier Methods for Turkish Language, Published Master's Thesis, İstanbul, 2013

A Review of Turkish Sentiment Analysis and Opinion Mining

Year 2018, Volume: 6 Issue: 2, 94 - 98, 30.04.2018
https://doi.org/10.17694/bajece.419547

Abstract

Social Media is one of the most frequently
used platforms today. Users can easily share their views, ideas, and thoughts on this platform. The data shared on social media platforms is actually a great
deal that can be transformed into meaningful information. The obtained big data
can be analyzed and evaluated by various data analysis methods. Whether or not
the data contain a feeling, if it is included; the type of the feeling (i.e.
positive, negative or neutral) can be determined by emotion analysis methods. Sentiment
Analysis studies in later times began to turn to analysis indicating different
sentiments. Thus the foundations of Opinion Mining were laid. When ideas
conveyed by social media information are presented semantically, they are
expressed by Opinion Mining. The purpose of this paper is to explain the relationship
between the concepts of Sentiment Analysis and Opinion Mining. The terms used
in Sentiment Analysis and Opinion Mining are explained and examples of Turkish Sentiment
Analysis are given. It has been tried to suggest solutions for the problems
encountered in Turkish studies.




References

  • [1] B. Liu, Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers, 2012. [2] S.E. Şeker, "Duygu Analizi (Sentimental Analysis)", YBS Ansiklopedi, 2016, pp.21-36. [3] B. Pang, L. Lee, S. Vaithyanathan, "Thumbs up? Sentiment Classifıcation Using Machine Leaming Techniques", Proceedings of EMNLP 2002, pp. 79-86, 2002. [4] T. Nasukawa and J. Yi, "Sentiment Analysis: Capturing favorability using natural language processing", Proceedings of the 2nd international conference on Knowledge capture, Sanibel Island, FL, USA, 2003. [5] K. Dave, S. Lawrence, and M. P. David, "Mining the peanut gallery: Opinion extraction and semantic classification of product reviews", Proceedings of the 12th international conference on World Wide Web, ACM, 2003. [6] T. Kaşıkçı, H. Gökçen, "Metin Madenciliği İle E-Ticaret Sitelerinin Belirlenmesi, Bilişim Teknolojileri Dergisi", 7(1), 2014, pp. 25-32. [7] S.E. Şeker, Sınıflandırma, 08 December 2017. [Online]. Available: http://bilgisayarkavramlari.sadievrenseker.com [8] T. Parlar, Feature Selection for Sentiment Analysis in Turkish Texts, Published Ph.D. Thesis, Adana, 2016. [9] E. Evirgen, Sentiment Analysis of Turkish Tweets, Published Master's Thesis, İstanbul, 2016. [10] B. Kama, Feature Based Sentiment Analysis on Informal Turkish Texts, Published Master's Thesis, Ankara, 2016. [11] S. Demirci, Sentiment Analysis on Turkish tweets, Published Master's Thesis, Ankara, 2014. [12] H. Çelik, Sentiment Analysis for Turkish Language, Published Master's Thesis, İstanbul, 2013. [13] Z. Boynukalın, Sentiment Analysis of Turkish Texts by Using Machine Learning Methods, Published Master's Thesis, Ankara, 2012. [14] İ. Yelmen, Sentiment Analysis on Turkish Social Media Data with Natural Language Processing Methods, Published Master's Thesis, İstanbul, 2016. [15] Ö. Çoban, Turkish Twitter Feelings Analysis with Text Classification Techniques, Published Master's Thesis, Erzurum, 2016. [16] B. A. Kaplan, Sentiment Analysis on Turkish Twitter Messages by Using Data Mining, Published Master's Thesis, İstanbul, 2016. [17] E. A. Yurt, Sentiment Analysis in Turkish Documents, Published Master's Thesis, İstanbul, 2015. [18] C. TÜRKMENOĞLU, Sentiment Analysis in Turkish Texts, Published Master's Thesis, İstanbul, 2015. [19] F. Akba, Assesment of Feature Selection Metrics for Sentiment Analysis: Turkish Movie Reviews, Published Master's Thesis, Ankara, 2014. [20] M. Nanğır, Classification of Emotions with Multiple Classifier Methods for Turkish Language, Published Master's Thesis, İstanbul, 2013
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Details

Primary Language English
Subjects Engineering
Journal Section Araştırma Articlessi
Authors

Habibe Karayiğit

Çiğdem Acı

Ali Akdağlı

Publication Date April 30, 2018
Published in Issue Year 2018 Volume: 6 Issue: 2

Cite

APA Karayiğit, H., Acı, Ç., & Akdağlı, A. (2018). A Review of Turkish Sentiment Analysis and Opinion Mining. Balkan Journal of Electrical and Computer Engineering, 6(2), 94-98. https://doi.org/10.17694/bajece.419547

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