Using Word N-Grams as Features in Arabic Text Classification

Author:

Al-Thubaity Abdulmohsen,Alhoshan Muneera,Hazzaa Itisam

Publisher

Springer International Publishing

Reference20 articles.

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2. Mesleh, A.M.: Feature sub-set selection metrics for Arabic text classification. Pattern Recognition Letters 32(14), 1922–1929 (2011)

3. Althubaity, A., Almuhareb, A., Alharbi, S., Al-Rajeh, A., Khorsheed, M.: KACST Arabic Text Classification Project: Overview and Preliminary Results. In: 9th IBMIA Conference on Information Management in Modern Organizations (2008)

4. Alwedyan, J., Hadi, W.M., Salam, M., Mansour, H.Y.: Categorize Arabic data sets using multi-class classification based on association rule approach. In: Proceedings of the 2011 International Conference on Intelligent Semantic Web-Services and Applications, vol. 18 (2011)

5. Khorsheed, M.S., Al-Thubaity, A.O.: Comparative evaluation of text classification techniques using a large diverse Arabic dataset. Language Resources and Evaluation 47(2), 513–538 (2013)

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