Results 1 to 10 of about 5,241 (157)
Arabic text classification using Polynomial Networks
In this paper, an Arabic statistical learning-based text classification system has been developed using Polynomial Neural Networks. Polynomial Networks have been recently applied to English text classification, but they were never used for Arabic text ...
Mayy M. Al-Tahrawi, Sumaya N. Al-Khatib
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Arabic Text Classification Using Convolutional Neural Network and Genetic Algorithms
Arabic documents are massively rising due to numerous contents utilized in websites, social media, and news articles. The classification of such documents in labelled categories is a significant and vital task that deserves more attention.
Deem Alsaleh, Souad Larabi-Marie-Sainte
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Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions [PDF]
The effectiveness of data augmentation techniques, i.e., methods for artificially creating new data, has been demonstrated in many domains, from images to textual data.
Samia F. Abdhood +2 more
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Firefly Algorithm based Feature Selection for Arabic Text Classification
Due to the large number of documents available in the internet, emails and digital libraries, document classification is becoming a crucial task extremely required.
Souad Larabi Marie-Sainte, Nada Alalyani
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Feature selection using an improved Chi-square for Arabic text classification
In text mining, feature selection (FS) is a common method for reducing the huge number of the space features and improving the accuracy of classification.
Said Bahassine +3 more
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Multilabel classification of Arabic text is an important task for understanding and analyzing social media content. It can enable the categorization and monitoring of social media posts, the detection of important events, the identification of trending ...
Samah M. Alzanin +3 more
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With the wide spread of short texts through social media platforms, there has become a growing need for effective methods for short-text classification.
Iyad Alagha
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BERT Models for Arabic Text Classification: A Systematic Review
Bidirectional Encoder Representations from Transformers (BERT) has gained increasing attention from researchers and practitioners as it has proven to be an invaluable technique in natural languages processing.
Ali Saleh Alammary
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Integrating CNN and transformer architectures for superior Arabic printed and handwriting characters classification [PDF]
Optical Character Recognition (OCR) systems play a crucial role in converting printed Arabic text into digital formats, enabling various applications such as education and digital archiving.
Mohammed R. Al-Maamari +3 more
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Arabic text classification is a process to simultaneously categorize the different contextual Arabic contents into a proper category. In this paper, a novel deep learning Arabic text computer-aided recognition (ArCAR) is proposed to represent and ...
Abdullah Y. Muaad +3 more
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