Journal of Engineering and Applied Sciences

Year: 2016
Volume: 11
Issue: 3
Page No. 528 - 536

Arabic Text Classification: Review Study

Authors : Musab Mustafa Hijazi, Akram M. Zeki and Amelia Ritahani Ismail

References

Ababneh, J., O. Almomani, W. Hadi, N.K.T. El-Omari and A. Al-Ibrahim, 2014. Vector space models to classify Arabic text. Int. J. Comput. Trends Technol., 7: 219-223.

Abu-Errub, A., 2014. Arabic text classification algorithm using TFIDF and Chi square measurements. Int. J. Comput. Applic., 93: 40-45.
Direct Link  |  

Abuaiadah, D., J. El Sana and W. Abusalah, 2014. On the impact of dataset characteristics on Arabic document classification. Int. J. Comput. Applic., 101: 31-38.
Direct Link  |  

Adel, A., N. Omar and A. Al-Shabi, 2014. A comparative study of combined feature selection methods for Arabic text classification. J. Comput. Sci., 10: 2232-2239.
CrossRef  |  Direct Link  |  

Ahmed, N.A., M.A. Shehab, M. Al-Ayyoub and I. Hmeidi, 2015. Scalable multi-label Arabic text classification. Proceedings of the 6th International Conference on Information and Communication Systems, April 7-9, 2015, Amman, Jordan, pp: 212-217.

Al-Diabat, M., 2012. Arabic text categorization using classification rule mining. Applied Math. Sci., 6: 4033-4046.

Al-Hindi, K. and E. Al-Thwaib, 2013. A comparative study of machine learning techniques in classifying full-text Arabic documents versus summarized documents. World Comput. Sci. Inform. Technol. J., 2: 126-129.
Direct Link  |  

Al-Kabi, M., E. Al-Shawakfa and I. Alsmadi, 2013. The Effect of Stemming on Arabic Text Classification: An Empirical Study. In: Information Retrieval Methods for Multidisciplinary Applications, Lu, Z. (Ed.). Idea Group Inc., Pennsylvania, ISBN: 9781466638990, pp: 207-225.

Al-Molegi, A., I. Alsmadi, H. Najadat and H. Albashiri, 2015. Automatic learning of Arabic text categorization. Int. J. Digital Contents Applic., 2: 1-16.

Al-Radaideh, Q.A., E.M. Al-Shawakfa, A.S. Ghareb and H. Abu-Salem, 2011. An approach for Arabic text categorization using association rule mining. Int. J. Comput. Process. Languages, 23: 81-106.

Al-Saleem, S., 2010. Associative classification to categorize Arabic data sets. Int. J. ACM Jordan, 1: 118-127.

Al-Salem, B. and M.J.A. Aziz, 2011. Statistical bayesian learning for automatic Arabic text categorization. J. Comput. Sci., 7: 39-45.
Direct Link  |  

Al-Shalabi, R. and R. Obeidat, 2008. Improving KNN Arabic text classification with n-grams based document indexing. Proceedings of the 6th International Conference on Informatics and Systems, March 27-29, 2008, Cairo, Egypt, pp: 108-112.

Al-Shargabi, B., W. Al-Romimah and F. Olayah, 2011. A comparative study for Arabic text classification algorithms based on stop words elimination. Proceedings of the International Conference on Intelligent Semantic Web-Services and Applications, April 18-20, 2011, Amman, Jordan 10.1145/1980822.1980833-.

Al-Tahrawi, M.M. and S.N. Al-Khatib, 2015. Arabic text classification using polynomial networks. J. King Saud Univ.-Comput. Inform. Sci., 27: 437-449.
CrossRef  |  Direct Link  |  

Al-Tahrawi, M.M., 2015. Arabic text categorization using logistic regression. Int. J. Intell. Syst. Applic., 6: 71-78.
Direct Link  |  

Al-Thubaity, A., M. Alhoshan and I. Hazzaa, 2015. Using Word N-Grams as Features in Arabic Text Classification. In: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Lee, R. (Ed.). Springer International Publishing, Switzerland, ISBN: 978-3-319-10388-4, pp: 35-43.

Al-Thubaity, A., N. Abanumay, S. Al-Jerayyed, A. Alrukban and Z. Mannaa, 2013. The effect of combining different feature selection methods on Arabic text classification. Proceedings of the 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, July 1-3, 2013, Honolulu, HI., pp: 211-216.

Al-Thwaib, E. and W. Al-Romimah, 2014. Support vector machine versus k-nearest neighbor for Arabic text classification. Int. J. Sci., 3: 1-5.

Al-Thwaib, E., 2014. Text summarization as feature selection for Arabic text classification. World Comput. Sci. Inform. Technol. J., 4: 101-104.

Alahmadi, A., A. Joorabchi and A.E. Mahdi, 2013. Combining bag-of-words and bag-of-concepts representations for Arabic text classification. Proceedings of the 25th IET Irish Signals and Systems Conference on China-Ireland International Conference on Information and Communications Technologies, June 26-27, 2013, Limerick, Ireland, pp: 343-348.

Alhutaish, R. and N. Omar, 2015. Arabic text classification using K-nearest neighbour algorithm. Int. Arab J. Inform. Technol., 12: 190-195.
Direct Link  |  

Alsaleem, S., 2011. Automated Arabic text categorization using SVM and NB. Int. Arab J. e-Technol., 2: 124-128.

Alwedyan, J., W.M. Hadi, M. Salam and H.Y. Mansour, 2011. Categorize Arabic data sets using multi-class classification based on association rule approach. Proceedings of the International Conference on Intelligent Semantic Web-Services and Applications, April 18-20, 2011, Amman, Jordan. -.

Aly, W.M., W.H. Sharaby, M.W. Youssef and H.A. Kelleny, 2013. Improved classification of Arabic unstructured documents based on automated domain dictionary construction. Proceedings of the 23rd International Conference on Computer Theory and Applications, October 29-31, 2013, Alexandria, Egypt, pp: 68-73.

Atlam, E.S., K. Morita, M. Fuketa and J.I. Aoe, 2011. A new approach for Arabic text classification using Arabic field‐association terms. J. Am. Soc. Inform. Sci. Technol., 62: 2266-2276.

Ayadi, R., M. Maraoui and M. Zrigui, 2015. LDA and LSI as a Dimensionality Reduction Method in Arabic Document Classification. In: Information and Software Technologies, Dregvaite, G. and R. Damasevicius (Eds.). Springer International Publishing, Switzerland, ISBN: 978-3-319-24769-4, pp: 491-502.

Azara, M., T. Fatayer and A. El-Halees, 2012. Arabie text classification using learning vector quantization. Proceedings of the 8th International Conference on Informatics and Systems, May 14-16, 2012, Giza, Egypt, pp: NLP-39-NLP-43.

Bawaneh, M.J., M.S. Alkoffash and A.I. Al Rabea, 2008. Arabic text classification using K-NN and naive bayes. J. Comput. Sci., 4: 600-605.
CrossRef  |  Direct Link  |  

Belkebir, R. and A. Guessoum, 2013. A hybrid BSO-Chi2-SVM approach to Arabic text categorization. Proceedings of the ACS International Conference on Computer Systems and Applications, May 27-30, 2013, Ifrane, Morocco, pp: 1-7.

Chantar, H.K.H., 2013. New techniques for Arabic document classification. Ph.D. Thesis, Heriot-Watt University, Edinburgh, Scotland.

Dawoud, H.M., 2013. Combining different approaches to improve Arabic text documents classification. M.Sc. Thesis, Islamic University, Gaza, Egypt.

Duwairi, R., M.N. Al‐Refai and N. Khasawneh, 2009. Feature reduction techniques for Arabic text categorization. J. Am. Soc. Inform. Sci. Technol., 60: 2347-2352.
CrossRef  |  Direct Link  |  

El-Halees, A., 2008. A comparative study on Arabic text classification. Egypt. Comput. Sci. J., Vol. 30.

El-Halees, A.M., 2007. Arabic text classification using maximum entropy. Islamic Univ. J. (Ser. Nat. Stud. Eng.), 15: 157-167.

Elberrichi, Z. and K. Abidi, 2012. Arabic text categorization: A comparative study of different representation modes. Int. Arab J. Inform. Technol., 9: 465-470.

Elhassan, R. and M. Ahmed, 2015. Arabic text classification on full word. Int. J. Comput. Sci. Software Eng., 4: 114-120.
Direct Link  |  

Elhassan, R. and M. Ahmed, 2015. Arabic text classification review. Int. J. Comput. Sci. Software Eng., 4: 1-5.

Ezzat, H., S. Ezzat, S. El-Beltagy and M. Ghanem, 2012. Topicanalyzer: A system for unsupervised multi-label Arabic topic categorization. Proceedings of the International Conference on Innovations in Information Technology, March 18-20, 2012, Abu Dhabi, pp: 220-225.

Fodil, L., H. Sayoud and S. Ouamour, 2014. Theme classification of Arabic text: A statistical approach. Proceedings of the 11th International Conference on Terminology and Knowledge Engineering, June 19-21, 2014, Berlin, pp: 10-.

Ghareb, A.S., A.R. Hamdan and A.A. Bakar, 2012. Text associative classification approach for mining Arabic data set. Proceedings of the 4th Conference on Data Mining and Optimization, September 2-4, 2012, Langkawi, Malaysia, pp: 114-120.

Ghareb, A.S., A.R. Hamdan and A.A. Bakar, 2014. Integrating noun-based feature ranking and selection methods with Arabic text associative classification approach. Arabian J. Sci. Eng., 39: 7807-7822.
CrossRef  |  Direct Link  |  

Ghareb, A.S., A.R. Hamdan, A.A. Bakar and M.R. Yaakub, 2015. Hybrid statistical rule-based classifier for Arabic text mining. J. Theor. Applied Inform. Technol., 71: 194-204.
Direct Link  |  

Haralambous, Y., Y. Elidrissi and P. Lenca, 2014. Arabic language text classification using dependency syntax-based feature selection. arXiv preprint arXiv:1410.4863, 2014. http://arxiv.org/abs/1410.4863.

Harrag, F. and E. El-Qawasmah, 2009. Neural network for Arabic text classification. Proceedings of the 2nd International Conference on the Applications of Digital Information and Web Technologies, August 4-6, 2009, London, pp: 778-783.

Harrag, F., A.M.S. Al-Salman and M. BenMohammed, 2010. A comparative study of neural networks architectures on Arabic text categorization using feature extraction. Proceedings of the International Conference on Machine and Web Intelligence, October 3-5, 2010, Algiers, Algeria, pp: 102-107.

Harrag, F., E. El-Qawasmah and A.M.S. Al-Salman, 2010. Comparing dimension reduction techniques for Arabic text classification using BPNN algorithm. Proceedings of the 1st International Conference on Integrated Intelligent Computing, August 5-7, 2010, Bangalore, India, pp: 6-11.

Harrag, F., E. El-Qawasmah and A.M.S. Al-Salman, 2011. Stemming as a feature reduction technique for Arabic text categorization. Proceedings of the 10th International Symposium on Programming and Systems, April 25-27, 2011, Algiers, Algeria, pp: 128-133.

Harrag, F., E. El-Qawasmeh and P. Pichappan, 2009. Improving Arabic text categorization using decision trees. Proceedings of the 1st International Conference on Networked Digital Technologies, July 28-31, 2009, Ostrava, Czech Republic, pp: 110-115.

Hattab, A. and A.K. Hussein, 2012. Arabic content classification system using statistical Bayes classifier with words detection and correction. World Comput. Sci. Inform. Technol. J., 2: 193-196.

Hawashin, B., A. Mansour and S. Aljawarneh, 2013. An efficient feature selection method for Arabic text classification. Int. J. Comput. Applic., 83: 1-6.
Direct Link  |  

Hmeidi, I., M. Al-Ayyoub, N.A. Abdulla, A.A. Almodawar, R. Abooraig and N.A. Mahyoub, 2015. Automatic Arabic text categorization: A comprehensive comparative study. J. Inform. Sci., 41: 114-124.
CrossRef  |  Direct Link  |  

Hmeidi, I., M. Al-Shalabi and M. Al-Ayyoub, 2015. A comparative study of automatic text categorization methods using Arabic text. Proceedings of the International Technology Management Conference, May 26-28, 2015, Mevlana University, Konya, Turkey, pp: 73-82.

Kanaan, G., R. Al-Shalabi, S. Ghwanmeh and H. Al-Ma'adeed, 2009. A comparison of text-classification techniques applied to Arabic text. J. Am. Soc. Inform. Sci. Technol., 60: 1836-1844.
CrossRef  |  

Kanan, T. and E.A. Fox, 2016. Automated Arabic text classification with P‐Stemmer, machine learning and a tailored news article taxonomy. J. Assoc. Inform. Sci. Technol. 10.1002/asi.23609

Kechaou, Z. and S. Kanoun, 2014. A new-Arabic-text classification system using a hidden Markov model. Int. J. Knowl. Intell. Eng. Syst., 18: 201-210.

Khorsheed, M.S. and A.O. Al-Thubaity, 2013. Comparative evaluation of text classification techniques using a large diverse Arabic dataset. Language Resour. Eval., 47: 513-538.
CrossRef  |  Direct Link  |  

Mamoun, R. and M.A. Ahmed, 2014. A comparative study on different types of approaches to the Arabic text classification. Proceedings of the 1st International Conference of Recent Trends in Information and Communication Technologies, September 12-14, 2014, Johor, Malaysia -.

Mesleh, A.M.A., 2008. Support vector machine text classifier for Arabic articles: Ant colony optimization-based feature subset selection. Ph.D. Thesis, Arab Academy for Banking and Financial Scienses, Amman, Jordan.

Moh'd Mesleh, A., 2011. Feature sub-set selection metrics for Arabic text classification. Pattern Recognit. Lett., 32: 1922-1929.
CrossRef  |  Direct Link  |  

Nehar, A., D. Ziadi and H. Cherroun, 2015. Rational kernels for Arabic stemming and text classification. arXiv preprint arXiv:1502.07504. https://arxiv.org/pdf/1502.07504.pdf.

Odeh, A., A. Abu-Errub, Q. Shambour and N. Turab, 2014. Arabic text categorization algorithm using vector evaluation method. Int. J. Comput. Sci. Inform. Technol., 6: 83-92.
Direct Link  |  

Saad, E., M. Awadalla and A. Alajmi, 2011. Dewy index based Arabic document classification with synonyms merge feature reduction. Int. J. Comput. Sci Issues, 1: 46-54.

Saad, M.K. and W. Ashour, 2010. Arabic text classification using decision trees. Proceedings of the 12th International Workshop on Computer Science and Information Technologies, September 13-19, 2010, Russia, Moscow-St.Petersburg, pp: 75-79.

Saad, M.K., 2010. The impact of text preprocessing and term weighting on Arabic text classification. M.Sc. Thesis, The Islamic University, Gaza, Egypt.

Said, D., N.M. Wanas, N.M. Darwish and N. Hegazy, 2009. A study of text preprocessing tools for Arabic text categorization. Proceedings of the 2nd International Conference on Arabic Language Resources and Tools, April 22-23, 2009, Cairo, Egypt, pp: 230-236.

Sawaf, H., J. Zaplo and H. Ney, 2001. Statistical classification methods for Arabic news articles. Proceedings of ACL/EACL 2001 Workshop on Arabic Language Processing: Status and Prospects, July 2001, Toulouse, Germany -.

Sharef, B.T., N. Omar and Z.T. Sharef, 2014. An automated Arabic text categorization based on the frequency ratio accumulation. Int. Arab J. Inform. Technol., 11: 213-221.
Direct Link  |  

Syiam, M.M., Z.T. Fayed and M.B. Habib, 2006. An intelligent system for Arabic text categorization. Int. J. Intell. Comput. Inform. Sci., 6: 1-19.

Ta'amneh, H., E.A. Keshek, M.B. Issa, M. Al-Ayyoub and Y. Jararweh, 2014. Compression-based Arabic text classification. Proceedings of the IEEE/ACS 11th International Conference on Computer Systems and Applications, November 10-13, 2014, Doha, Qatar, pp: 594-600.

Thabtah, F., O. Gharaibeh and H. Abdeljaber, 2011. Comparison of rule based classification techniques for the Arabic textual data. Proceedings of the 4th International Symposium on Innovation in Information and Communication Technology, November 29-December 1, 2011, Amman, Jordan, pp: 105-111.

Thabtah, F., O. Gharaibeh and R. Al-Zubaidy, 2012. Arabic text mining using rule based classification. J. Inform. Knowl. Manage., Vol. 11. 10.1142/S0219649212500062

Thabtah, F., W. Hadi and G. Al-Shammare, 2008. VSMs with K-nearest neighbour to categorise Arabic text data. Proceedings of the World Congress on Engineering and Computer Science, October 22-24, 2008, San Francisco, USA., pp: 778-781.

Wahbeh, A.H. and M. Al-Kabi, 2012. Comparative assessment of the performance of three WEKA text classifiers applied to arabic text. Abhath Al-Yarmouk: Basic Sci. Eng., 21: 15-28.
Direct Link  |  

Yousif, S.A., V.W. Samawi, I. Elkaban and R. Zantout, 2015. Enhancement of Arabic text classification using semantic relations of Arabic WordNet. J. Comput. Sci., 11: 498-509.
Direct Link  |  

Yousif, S.A., V.W. Samawi, I. Elkabani and R. Zantout, 2015. The effect of combining different semantic relations on Arabic text classification. World Comput. Sci. Inform. Technol. J., 5: 112-118.

Yousif, S.A., V.W. Samawi, I., Elkabani and R. Zantout, 2015. Enhancement of Arabic Text Classification Using Semantic Relations with Part of Speech Tagger. In: Advances in Electrical and Computer Engineering, Mastorakis, N.E. and I.J. Rudas (Eds.). WSEAS Press, USA., pp: 195-201.

Zaghoul, F.A.L. and S. Al-Dhaheri, 2013. Arabic text classification based on features reduction using artificial neural networks. Proceedings of the UKSim 15th International Conference on Computer Modelling and Simulation, April 10-12, 2013, Cambridge, pp: 485-490.

Zahran, B.M. and G. Kanaan, 2009. Text feature selection using particle swarm optimization algorithm. World Applied Sci. J., 7: 69-74.
Direct Link  |  

Zaki, T., D. Mammas, A. Ennaji and F. Nouboud, 2010. Classification of Arabic documents by a model of fuzzy proximity with a radial basis function. Int. J. Future Generat. Commun. Networking, 3: 31-42.
Direct Link  |  

Zaki, T., Y. Es-Saady, D. Mammass, A. Ennaji and S. Nicolas, 2014. A hybrid method N-grams-TFIDF with radial basis for indexing and classification of Arabic documents. Int. J. Software Eng. Applic., 8: 127-144.
Direct Link  |  

Zrigui, M., R. Ayadi, M. Mars and M. Maraoui, 2012. Arabic text classification framework based on latent dirichlet allocation. J. Comput. Inform. Technol., 20: 125-140.
Direct Link  |  

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