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The Effect of Ensemble Learning Models on Turkish Text Classification

Yıl 2016, Cilt: 12 Sayı: 2 - CBUJOS, 2016, Volume 12, Issue 2, 0 - , 29.08.2016
https://doi.org/10.18466/cbujos.04526

Öz

The Effect of Ensemble Learning Models on Turkish Text Classification

Due to rapid development of the Internet and related technologies, the amount of text-based content generated through Internet applications is increasing from day to day. Since text-based content is unstructured, accessing and managing this data is almost impossible. Consequently, there is a need for automatic text classification process. Text mining is a discipline in the Data Mining field and offers algorithms in order to perform text classification. The main objective of text classification is forming a learning model by using a training data set with pre-defined categories and placing data with unknown categories into correct categories. Different text classification algorithms such as decision trees, Bayesian classifiers, rule-based classifiers, neural networks, k-nearest neighbor classifier, support vector machines and ensemble learning methods exist in the literature. In this study, the effect of ensemble learning models on Turkish text classification was evaluated. A publicly available data set named TTC-3600 which consists of 3600 news collected from 6 news portals was selected. Text classification process was performed on TTC-3600 data set by using 4 base classification algorithms Naïve Bayes, Support Vector Machine, K-Nearest Neighbor, J48 Decision tree and their Boosting, Bagging and Rotation Forest ensemble learning models. The experimental results shows that ensemble learning models generally give more accurate results by increasing the success of base classifiers.


Yıl 2016, Cilt: 12 Sayı: 2 - CBUJOS, 2016, Volume 12, Issue 2, 0 - , 29.08.2016
https://doi.org/10.18466/cbujos.04526

Öz

Toplam 0 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Deniz Kılınç Bu kişi benim

Yayımlanma Tarihi 29 Ağustos 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 12 Sayı: 2 - CBUJOS, 2016, Volume 12, Issue 2

Kaynak Göster

APA Kılınç, D. (2016). The Effect of Ensemble Learning Models on Turkish Text Classification. Celal Bayar University Journal of Science, 12(2). https://doi.org/10.18466/cbujos.04526
AMA Kılınç D. The Effect of Ensemble Learning Models on Turkish Text Classification. CBUJOS. Ağustos 2016;12(2). doi:10.18466/cbujos.04526
Chicago Kılınç, Deniz. “The Effect of Ensemble Learning Models on Turkish Text Classification”. Celal Bayar University Journal of Science 12, sy. 2 (Ağustos 2016). https://doi.org/10.18466/cbujos.04526.
EndNote Kılınç D (01 Ağustos 2016) The Effect of Ensemble Learning Models on Turkish Text Classification. Celal Bayar University Journal of Science 12 2
IEEE D. Kılınç, “The Effect of Ensemble Learning Models on Turkish Text Classification”, CBUJOS, c. 12, sy. 2, 2016, doi: 10.18466/cbujos.04526.
ISNAD Kılınç, Deniz. “The Effect of Ensemble Learning Models on Turkish Text Classification”. Celal Bayar University Journal of Science 12/2 (Ağustos 2016). https://doi.org/10.18466/cbujos.04526.
JAMA Kılınç D. The Effect of Ensemble Learning Models on Turkish Text Classification. CBUJOS. 2016;12. doi:10.18466/cbujos.04526.
MLA Kılınç, Deniz. “The Effect of Ensemble Learning Models on Turkish Text Classification”. Celal Bayar University Journal of Science, c. 12, sy. 2, 2016, doi:10.18466/cbujos.04526.
Vancouver Kılınç D. The Effect of Ensemble Learning Models on Turkish Text Classification. CBUJOS. 2016;12(2).