Polarity detection of Turkish comments on technology companies

Isguder-Sahin GG, Zafer HR, Adah E (2014)

Publication Type: Conference contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 136-139

Conference Proceedings Title: Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014

Event location: Kuching, MYS

ISBN: 9781479953301

DOI: 10.1109/IALP.2014.6973514

Abstract

In this study, comments about technology brands are collected from a popular Turkish website, eksisözlük, and classified as positive or negative. Turkish text is preprocessed with different kinds of filters and then modeled with 1-gram, 2-grams and 3-grams language models. Naive Bayes (NB), Support Vector Machines (SVM) and K nearest neighbor (KNN) classifiers are applied on different configurations of preprocessing techniques, language models and linguistic attributes for comparison. We measured best F-measure as 0,696 on our test dataset.

Involved external institutions

Istanbul Technical University / İstanbul Teknik Üniversitesi (İTÜ) TR Turkey (TR) Marmara University TR Turkey (TR)

How to cite

APA:

Isguder-Sahin, G.G., Zafer, H.R., & Adah, E. (2014). Polarity detection of Turkish comments on technology companies. In Rafael E. Banchs, Minghui Dong, Yanfeng Lu, Bali Ranaivo-Malancon (Eds.), Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014 (pp. 136-139). Kuching, MYS: Institute of Electrical and Electronics Engineers Inc..

MLA:

Isguder-Sahin, Gozde Gul, Harun Resit Zafer, and Esref Adah. "Polarity detection of Turkish comments on technology companies." Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014, Kuching, MYS Ed. Rafael E. Banchs, Minghui Dong, Yanfeng Lu, Bali Ranaivo-Malancon, Institute of Electrical and Electronics Engineers Inc., 2014. 136-139.

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