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MADOran: A morphologically annotated dataset of Oran. [PDF]

open access: yesData Brief
Sawalha M   +6 more
europepmc   +1 more source

Arabic text classification using deep learning models

Information Processing & Management, 2020
Abstract Text classification or categorization is the process of automatically tagging a textual document with most relevant labels or categories. When the number of labels is restricted to one, the task becomes single-label text categorization. However, the multi-label version is challenging.
Ashraf Elnagar   +2 more
openaire   +3 more sources

Active Learning for Arabic Text Classification

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021
Active Learning explores the use of minimal human intervention to improve the efficiency of supervised machine learning algorithms during the learning/training phase. Active learning improves machine learning algorithms performance, especially for ambiguous or unknown cases that are not clearly defined in the classification criteria applied to data. In
Abdel-Karim Al-Tamimi   +2 more
openaire   +1 more source

Compression-based arabic text classification

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014
Text classification (TC) is one of the fundamental problems in text mining. Plenty of works exist on TC with interesting approaches and excellent results; however, most of these works follow a word-based approach for feature extraction. In this work, we are interested in an alternative (byte-based or character-based) approach known as compression-based
Haneen Ta'amneh   +4 more
openaire   +1 more source

Arabic text classification: New study

2017 International Conference on Engineering & MIS (ICEMIS), 2017
Text classification performance is considerably influenced by a factor selected from the text and presented to the classification algorithm: the feature type. Character N-grams, word roots, word stems, and full words have been altogether used as features for Arabic text classification.
Rabii Ayed   +2 more
openaire   +1 more source

Classification of Cyberbullying Text in Arabic

2020 International Joint Conference on Neural Networks (IJCNN), 2020
The increase in electronic devices and social media use has allowed face-to-face bullying integrate the cyber space. Cyberbullying is an increasing problem that affects its victims worldwide both mentally and physically. Acting upon this phenomenon is of highly importance.
Benaissa Azzeddine Rachid   +2 more
openaire   +1 more source

Accuracy evaluation of Arabic text classification

2017 12th International Conference on Computer Engineering and Systems (ICCES), 2017
Categorization of Arabic text is a significant challenge nowadays owing to the richness of text that occurs through various modules. Also, the Arabic language is considered the fifth spoken one. During the last decade, scholars incubated few concerns about this regard comparing with English language.
Mostafa Sayed   +2 more
openaire   +1 more source

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