6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 1 cited
Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners
Sadik Bessou, Ghozlane Chenni
This paper presents an approach based on supervised machine learning methods to build a classifier that can identify text complexity in order to present Arabic language learners wi…
cs.CL2019★ 6 cited
An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval
Sadik Bessou, Mohamed Touahria
This paper provides a method for indexing and retrieving Arabic texts, based on natural language processing. Our approach exploits the notion of template in word stemming and repla…
cs.CL2019★ 5 cited
Subjective Sentiment Analysis for Arabic Newswire Comments
Sadik Bessou, Rania Aberkane
This paper presents an approach based on supervised machine learning methods to discriminate between positive, negative and neutral Arabic reviews in online newswire. The corpus is…