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Automatic Indexing of Arabic Texts: State of the Art


 
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1. Title Title of document Automatic Indexing of Arabic Texts: State of the Art
 
2. Creator Author's name, affiliation, country Mohamed Salim El Bazzi; IRF – SIC, Faculty of Sciences, University of Ibn Zohr; Morocco
 
2. Creator Author's name, affiliation, country Taher Zaki; IRF – SIC, Faculty of Sciences, University of Ibn Zohr; Morocco
 
2. Creator Author's name, affiliation, country Driss Mammass; IRF – SIC, Faculty of Sciences, University of Ibn Zohr; Morocco
 
2. Creator Author's name, affiliation, country Abdelatif Ennaji; LITIS Lab, University of Rouen; France
 
3. Subject Discipline(s)
 
3. Subject Keyword(s)
 
4. Description Abstract

Document indexing is a crucial step in the text mining process. It is used to represent documents by the most relevant descriptors of their contents. Several approaches are proposed in the literature, particularly for English, but they are unusable for Arabic documents, considering its specific characteristics and its morphological complexity, grammar and vocabulary. In this paper, we present a reading in the state of the art of indexation methods and their contribution to improve Arabic document’s processing. We also propose a categorization of works according to the most used approaches and methods for indexing textual documents. We adopted a qualitative selection of papers and we retained papers approving notable indexation contributions and illustrating significant results.

 
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6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2016-11-21
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF (Français (France))
 
10. Identifier Uniform Resource Identifier https://www.revue-eti.net/index.php/eti/article/view/96
 
11. Source Title; vol., no. (year) Electronic Journal of Information Technology; Issue 9
 
12. Language English=en fr
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2016 Mohamed Salim El Bazzi, Taher Zaki, Driss Mammass, Abdelatif Ennaji
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This work is licensed under a Creative Commons Attribution 4.0 International License.