Shiavault - a Vault of Shia Islamic Books Classification of Arabic Documents References [1] Sebastiani,. Machine learning in automated text categorization. ACM Computing Surveys (CSUR), 2002, 34(1), 1-47. [2] Ronen Feldman, James Sanger The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data, 2007 [3] [4] Aitao C., “Building an Arabic Stemmer for Information Retrieval,” in Proceedings of the Eleventh Text Retrieval Conference, Berkeley, pp. 631-639, 2003. [5]Hammo, B. H.
(2009, this issue). Towards enhancing retrieval effectiveness of search engines for diacritisized Arabic documents. Information Retrieval. [6] Building a shallow Arabic morphological analyzer in one day. In Proc. Of the 40th Annual Meeting of the Association for Computational Linguistics (ACL’02) (pp. 1-8). [7] Darwish, K. (2003). Probabilistic methods for searching OCR-degraded Arabic text. Ph.D. Thesis, Electrical and Computer Engineering Department, University of Maryland, College Park.
[8] Ahmed, Mohamed Attia, “A Large-Scale Computational Processor of the Arabic Morphology, and Applications.” A Master’sThesis, Faculty of Engineering, CairoUniversity, Cairo, Egypt, 2000. [9] Kirchhoff, K., & Vergyri, D. Cross-dialectal data sharing for acoustic modeling in Arabic speech recognition. Speech Communication, 46(1), 37-51, 2005. [10] Debili, F., Achour, H., & Souissi, E. Del’etiquetage grammatical a’ la voyellation automatique de l’arabe. Correspondances (Vol. 71, pp. 10-28).
Tunis: Institut de Recherche sur le Maghreb Contemporain. [11] Khoja S. and Garside R., Stemming Arabic Text, available at: last visited 1999. [12] Leah L., and Lisa B., and Margaret C., Light Stemming for Arabic Information Retrieval, University of Massachusetts, Springer, 2007. [13] G. Kanan and R. Al-Shalabi, "Building an Effective Rule-Based Light Stemmer for Arabic Language to Improve Search Effectiveness", IEEE, pp. 312-316, 2008. [14] Debole, F. & Sebastiani, F. (2005).
An analysis of the relative hardness of reuters-21578 subsets. Journal of the American Society for Information Science and Technology (JASIST), 56(6), 584- 596. Previous