Comparative Study of Arabic Stemming Algorithms for Topic Identification | Zendy

Marwa Naili | Zendy; Anja Habacha Chaïbi | Zendy; Henda Hajjami Ben Ghézala | Zendy

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Comparative Study of Arabic Stemming Algorithms for Topic Identification

Author(s) -

Marwa Naili,

Anja Habacha Chaïbi,

Henda Hajjami Ben Ghézala

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.09.238

Subject(s) - computer science , arabic , identification (biology) , process (computing) , natural language processing , field (mathematics) , language identification , natural language , artificial intelligence , algorithm , information retrieval , programming language , linguistics , philosophy , botany , mathematics , pure mathematics , biology

Stemming process is one of the important pre-processing steps in different natural language process tasks such as text mining and information retrieval. Yet, stemming process can be considered as a difficult step to realize according to the used language. In fact, due to the complex morphology of Arabic language, stemming results can be influenced. Thus, several algorithms have been proposed in order to overcome stemming problems. In this paper, we investigate different stemming algorithms by presenting a comparative study in the field of Arabic topic identification.

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