Research Article
Review on Recent Arabic Information Retrieval Techniques
@ARTICLE{10.4108/eetiot.v8i3.2276, author={Abdelkrim AARAB and Ahmed Oussous and Mohammed Saddoune}, title={Review on Recent Arabic Information Retrieval Techniques}, journal={EAI Endorsed Transactions on Internet of Things}, volume={8}, number={3}, publisher={EAI}, journal_a={IOT}, year={2022}, month={10}, keywords={Information Retrieval, Arabic, Natural language processing, Indexing, Ranking, Evaluation}, doi={10.4108/eetiot.v8i3.2276} }- Abdelkrim AARAB
Ahmed Oussous
Mohammed Saddoune
Year: 2022
Review on Recent Arabic Information Retrieval Techniques
IOT
EAI
DOI: 10.4108/eetiot.v8i3.2276
Abstract
Information retrieval is an important field that aims to provide a relevant document to a user information need, expressed through a query. Arabic is a challenging language that gained much attention recently in the information retrieval domain. To overcome the problems related to its complexity, many studies and techniques have been presented, most of them were conducted to solve the stemming problem. This paper presents an overview of the Arabic information retrieval process, including various text processing techniques, ranking approaches, evaluation measures, and some important information retrieval models. The paper finally presents some recent related studies and approaches in different Arabic information retrieval fields.
Copyright © 2022 Abdelkrim Aarab et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
