Results 211 to 220 of about 4,786 (237)

Arabic text classification using linear discriminant analysis

2017 International Conference on Engineering & MIS (ICEMIS), 2017
The linear discriminant analysis (LDA) is a dimensionality reduction technique that is widely used in pattern recognition applications. The LDA aims at generating effective feature vectors by reducing the dimensions of the original data (e.g. bag-of-words textual representation) into a lower dimensional space.
Fawaz S. Al-Anzi, Dia AbuZeina
openaire   +1 more source

Arabic text classification based on analogical proportions

Expert Systems
AbstractText classification is the process of labelling a given set of text documents with predefined classes or categories. Existing Arabic text classifiers are either applying classic Machine Learning algorithms such as k‐NN and SVM or using modern deep learning techniques.
Myriam Bounhas, Bilel Elayeb, Amina Chouigui, Amir Hussain, Erik Cambria   +4 more
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A survey of Arabic text classification approaches

International Journal of Computer Applications in Technology, 2019
Categorisation of text is significant trend that ultimately appears owing to the internet revolution nowadays resulting in enormous amounts data that depend on various languages. The Arabic language is one of the most commonly used languages all over the world; it is considered the fifth most spoken one.
Mostafa Sayed, Rashed K. Salem, Ayman E. Khder   +2 more
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An efficient stemming for Arabic Text Classification

2012 International Conference on Innovations in Information Technology (IIT), 2012
Using N-gram technique without stemming is not appropriate in the context of Arabic Text Classification. For this, we introduce a new stemming technique, which we call “approximate-stemming”, based on the use of Arabic patterns. These are modeled using transducers and stemming is done without depending on any dictionary.
Attia Nehar, Djelloul Ziadi, Hadda Cherroun, Younes Guellouma   +3 more
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Machine Learning Implementations in Arabic Text Classification

2017
Text categorization denotes the process of assigning to a piece of text a label that describes its thematic information. Although this task has been extensively investigated for different languages, it has not been researched thoroughly with respect to the Arabic language. In this chapter, we summarize the major techniques used for addressing different
Mohammed Elarnaoty, Ali Farghaly
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Preprocessing Arabic text on social media

Heliyon, 2021
Mohamed Osman Hegazi, Anwer Hilal
exaly  

Arabic Text Classification Using Support Vector Machines

International Journal of Computers and Their Applications, 2009
Text 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, Habib, Mena Badieh, Fayed, Zaki Taha   +2 more
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Arabic Text Classification: A Literature Review

2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA), 2021
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Functional Text Dimensions for Arabic Text Classification

Proceedings of The Second Arabic Natural Language Processing Conference
Zeyd Ferhat, Abir Betka, Riyadh Barka, Zineddine Kahhoul, Selma Boutiba, Mohamed Tiar, Habiba Dahmani, Ahmed Abdelali   +7 more
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A Review Study on Arabic Text Classification

2022 International Arab Conference on Information Technology (ACIT), 2022
Musab Mustafa Hijazi, Akram Zeki, Amelia Ismail   +2 more
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