Results 31 to 40 of about 1,363 (163)

Code and Creed: The Construction of AI‐Islamic Discourse in Singapore's Media Landscape

Journal for the Scientific Study of Religion, EarlyView.
ABSTRACT This study examines how Singapore's mainstream media shapes public understanding of artificial intelligence (AI) in Islamic contexts through analysis of newspaper coverage from 1989 to 2024. Drawing on computational analysis of over 620,000 articles from The Straits Times and The Business Times, we develop the concept of “double mediation” to ...
Reza Shaker
wiley   +1 more source

SANAD: Single-label Arabic News Articles Dataset for automatic text categorization

Data in Brief, 2019
Text Classification is one of the most popular Natural Language Processing (NLP) tasks. Text classification (aka categorization) is an active research topic in recent years.
Omar Einea, Ashraf Elnagar, Ridhwan Al Debsi   +2 more
doaj   +1 more source

A Shallow Echo: Artificial Intelligence and the Semantic Flattening of the Qur'an

Learned Publishing, Volume 39, Issue 3, July 2026.
ABSTRACT Scriptural Arabic relies on highly intentional word choices, employing apparent synonyms and near‐synonyms that convey distinct semantic values based on their specific textual placement. Historically, computational translation has struggled to reproduce these precise textual boundaries. Addressing this issue, the present investigation assesses
Ekrema Shehab
wiley   +1 more source

Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape

PsyCh Journal, Volume 15, Issue 3, June 2026.
ABSTRACT Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary widely in target outcomes, data sources, labeling strategies, and evaluation practices, and a structured overview of recent research remains limited.
Yiqing He, Yinning He, Darong Liu
wiley   +1 more source

A Novel Approach for Mitigating Class Imbalance in Arabic Text Classification

IEEE Access
Natural language processing (NLP) has become somewhat well-known because of its many uses; deep neural networks have driven major developments. Still, there are difficulties, especially in Arabic NLP, where the language’s large vocabulary of over ...
Emad Nabil, Abdelrahman Ezzeldin Nagib, Mena Hany, Safiullah Faizullah, Wael Hassan Gomaa   +4 more
doaj   +1 more source

Aspirations and Apprehensions: Reconciling Youths' Desires and Concerns for a Sustainable Future

Sustainable Development, Volume 34, Issue 3, Page 3616-3640, June 2026.
ABSTRACT Although youth are widely acknowledged as change agents, their full participation is often limited by immediate concerns. This study examines how young people's aspirations shape their engagement with sustainability amid economic, environmental, and social uncertainties. Drawing on a large‐scale international survey (n: 15,076) and multinomial
Stephen Thomas Homer, Weng Marc Lim, Marc Arul Weissmann   +2 more
wiley   +1 more source

A Superior Arabic Text Categorization Deep Model (SATCDM)

IEEE Access, 2020
Categorizing Arabic text documents is considered an important research topic in the field of Natural Language Processing (NLP) and Machine Learning (ML).
M. Alhawarat, Ahmad O. Aseeri
doaj   +1 more source

Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets

CoRR, 2022
Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challenging task. In order to give the optimal experience for users and researchers exploring the catalogue, several design and user experience challenges must be resolved ...
Yousef Altaher, Ali Fadel, Mazen Alotaibi, Mazen Alyazidi, Mishari Al-Mutairi, Mutlaq Aldhbuiub, Abdulrahman Mosaibah, Abdelrahman Rezk, Abdulrazzaq Alhendi, Mazen Abo Shal, Emad A. Alghamdi, Maged Saeed AlShaibani, Jezia Zakraoui, Wafaa Mohammed, Kamel Gaanoun, Khalid N. Elmadani, Mustafa Ghaleb, Nouamane Tazi, Raed Alharbi, Maraim Masoud, Zaid Alyafeai   +20 more
openaire   +2 more sources

Suicidal Thoughts Detection on Social Media in Roman Urdu Using an Attention‐Based Hybrid Deep Learning Model

Engineering Reports, Volume 8, Issue 5, May 2026.
Proposed framework of suicide detection. ABSTRACT Early detection of suicidal ideation on social media is crucial for timely intervention and prevention. In Pakistan and other Asian countries, a significant number of users communicate on social media in Roman Urdu, a non‐standardized script of Urdu, which poses challenges for text analysis.
Allah Ditta, Nazish Iftikhar, Khurram Gulzar Rana, Asghar Ali Shah, Muhammad Adnan Khan   +4 more
wiley   +1 more source

Revisiting Common Assumptions about Arabic Dialects in NLP

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Accepted to ACL ...
Amr Keleg, Sharon Goldwater, Walid Magdy
openaire   +5 more sources