A Study of the Effects of Stemming Strategies on Arabic Document Classification

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: IEEE Access IEEE Volume:
Keywords : , Study , , Effects , Stemming Strategies on Arabic Document    
Abstract:
Stemming is one of the most effective techniques, which has been adopted in many applications, such as machine learning, machine translation, document classification (DC), information retrieval, and natural language processing. The stemmin
    
     
 
       

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