Comparative Study of Arabic Stemming Algorithms for Topic Identification-Reference-Cited by-同舟云学术

Comparative Study of Arabic Stemming Algorithms for Topic Identification

Published:2019 Issue: Volume:159 Page:794-802
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Naili Marwa,Chaibi Anja Habacha,Ben Ghezala Henda Hajjami

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Arabic text classification framework based on latent dirichlet allocation;Zrigui;CIT. Journal of Computing and Information Technology,2012

2. Clustering with probabilistic topic models on arabic texts: a comparative study of LDA and K-means;Kelaiaia;Int. Arab J. Inf. Technol.,2016

3. Empirical study of LDA for Arabic topic identification;Naili;version étendue, ARIMA Journal,2017

4. Arabic Topic Detection using automatic text summarisation;Koulali;In Computer Systems and Applications (AICCSA), ACS International Conference, IEEE,2013

5. ”Feature Selection for Arabic Topic Detection Using Named Entities”;Koulali;In Proceeding of CITALA, Oujda, Morocco,2014

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