A deep autoencoder-based representation for Arabic text categorization

• المؤلفون الرئيسيون: El-Alami, Fatima-Zahra, El Mahdaouy, Abdelkader, El Alaoui, Said Ouatik, En-Nahnahi, Noureddine
• التنسيق: مقال
• اللغة: English
• منشور في: Universiti Utara Malaysia Press 2020
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://repo.uum.edu.my/28135/1/JICT%2019%203%202020%20381-398.pdf; http://repo.uum.edu.my/28135/; http://jict.uum.edu.my/index.php/previous-issues/172-journal-of-information-and-communication-technology-jict-vol-19-no-3-july-2020#a4

Arabic text representation is a challenging assignment for several applications such as text categorization and clustering since the Arabic language is known for its variety, richness and complex morphology. Until recently, the Bag-of-Words remains the most common method for Arabic text representati...