Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect

Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect

Abstract Named entity recognition (NER) is a significant natural language processing task (NLP) in several applications, including question-answering and data retrieval. NER’s primary goal is to classify, discover, and extract named entities into predetermined classes: location, person, and organiza...

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Bibliographic Details
Main Authors: Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Named entity recognition
Arabic text
Deep learning
Artificial intelligence
Northern goshawk optimization
Online Access:https://doi.org/10.1038/s41598-025-05940-y
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https://doi.org/10.1038/s41598-025-05940-y

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