Ensemble of keyword extraction methods and classifiers in text classification
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- 作者：Aytuğ Onana ; aytug.onan@cbu.edu.tr" class="auth_mail" title="E-mail the corresponding author ; aytugonan@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Serdar Korukoğlub ; serdar.korukoglu@ege.edu.tr" class="auth_mail" title="E-mail the corresponding author ; Hasan Bulutb ; hasan.bulut@ege.edu.tr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Keyword extraction ; Text classification ; Ensemble learning ; Scientific text classification
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：15 September 2016
- 年：2016
- 卷：57
- 期：Complete
- 页码：232-247
- 全文大小：2121 K
文摘
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Text classification is a domain with high dimensional feature space.
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Extracting the keywords as the features can be extremely useful in text classification.
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An empirical analysis of five statistical keyword extraction methods.
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A comprehensive analysis of classifier and keyword extraction ensembles.
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For ACM collection, a classification accuracy of 93.80% with Bagging ensemble of Random Forest.