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Arabic Text Classification: A Literature Review
2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA), 2021openaire +1 more source
Combining Words and Concepts for Automatic Arabic Text Classification
2018The paper examines combining words and concepts for text representation for Arabic Automatic Text Classification (ATC) and its impact on the accuracy of the classification, when used with various stemming methods and classifiers. An experimental Arabic ATC system was developed and the effects of its main components on the classification accuracy are ...
Alaa Y. Alahmadi +2 more
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Arabic Text Classification Based on Word and Document Embeddings
2016Recently, Word Embeddings have been introduced as a major breakthrough in Natural Language Processing (NLP) to learn viable representation of linguistic items based on contextual information or/and word co-occurrence. In this paper, we investigate Arabic document classification using Word and document Embeddings as representational basis rather than ...
Abdelkader El Mahdaouy +2 more
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Machine Learning Algorithms in Arabic Text Classification: A Review
2019 12th International Conference on Developments in eSystems Engineering (DeSE), 2019As the number of electronic resources is rapidly increasing, the need for automatic classification of such resources became very crucial. In the literature, extensive text classification schemes were proposed to classify text documents into predefined categories.
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Analogical Text Mining: Application to Arabic Text Summarization and Classification
2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023Bilel Elayeb +2 more
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Arabic text categorization based on rough set classification
2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), 2011The process of text categorization has been used in many applications and areas. Classifying of Arabic texts is different than classifying of English texts because Arabic is highly inflectional and derivational language which makes monophonical analysis a very complex task.
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Arabic Text Classification Using Support Vector Machines.
Int. J. Comput. Their Appl., 2009Text classification (TC) is the process of classifying documents into a predefined set of categories based on their content. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In this paper we applied the Support Vector Machines (SVM) model in classifying Arabic text documents.
Gharib, Tarek Fouad +2 more
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Functional Text Dimensions for Arabic Text Classification
Proceedings of The Second Arabic Natural Language Processing ConferenceZeyd Ferhat +7 more
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Multi-label Arabic text classification in Online Social Networks
Information Systems, 2021Tarek M Mahmoud, Ahmed Omar
exaly
Arabic text classification using deep learning models
Information Processing and Management, 2020Omar Einea, Ashraf Elnagar
exaly