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.
