Results 201 to 210 of about 4,786 (237)

Improving Arabic Text Classification Using P-Stemmer

Recent Advances in Computer Science and Communications, 2022
Introduction: Stemming is an important preprocessing step in text classification, and could contribute in increasing text classification accuracy. Although many works proposed stemmers for English language, few stemmers were proposed for Arabic text.
Tarek Kanan, Bilal Hawashin, Shadi Alzubi, Eyad Almaita, Ahmad Alkhatib, Khulood Abu Maria, Mohammed Elbes   +6 more
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Intertextual distance for Arabic texts classification

2009 International Conference for Internet Technology and Secured Transactions, (ICITST), 2009
Our researches works are interested on the application of the intertextual distance theory on the Arabic language as a tool for the classification of texts. This theory assumes the classification of texts according to criteria of lexical statistics, and it is based on the lexical connection approach.
R. Ayadi, M. Maraoui, M. Zrigui
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Neural Network for Arabic text classification

2009 Second International Conference on the Applications of Digital Information and Web Technologies, 2009
This paper proposes the application of Artificial Neural Network for the classification of Arabic language documents. The automatic classification of Arabic documents using ANN has not been explored in detail so far. In this paper, an Arabic corpus is used to construct and test the ANN model.
Fouzi Harrag, Eyas El-Qawasmah
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Neuro-classification for handwritten Arabic text

ACS/IEEE International Conference on Computer Systems and Applications, 2003. Book of Abstracts., 2004
Summary form only given. The issue of handwritten character recognition is still a big challenge to the scientific community. Several approaches to address this challenge have been attempted in the last years, mostly focusing on the English preprinted or handwritten characters space.
R.A. Haraty, C. Ghaddar
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Subsequence kernels-based Arabic text classification

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014
Kernel methods have known huge success in machine learning. This success is mainly due to their flexibility to deal with high dimensionality of the feature space of complex data such as graphs, trees or textual data. In the field of text classification (TC) their performances have supplanted traditional algorithms.
Attia Nehar, Abdelkader Benmessaoud, Hadda Cherroun, Djelloul Ziadi   +3 more
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Text Classification of Arabic Text: Deep Learning in ANLP

2021
Recently Natural Language Processing (NLP) has excessive attention due to increased data available online and needs processing. Nevertheless, the huge development in the NLP but still Arabic Natural Language Processing (ANLP) faces many challenges and grief from researchers’ leakage compared with English NLP. Mainly this study has three divisions.
Ahlam Wahdan, Said A. Salloum, Khaled Shaalan   +2 more
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Scalable multi-label Arabic text classification

2015 6th International Conference on Information and Communication Systems (ICICS), 2015
Multi-label text classification (MTC) is a natural extension of the traditional text classification (TC) in which a possibly large set of labels can be assigned to each document. The dimensionality of labels makes MTC difficult and challenging.
Nizar A. Ahmed, Mohammed A. Shehab, Mahmoud Al-Ayyoub, Ismail Hmeidi   +3 more
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Optimizing Sentiment Classification for Arabic Opinion Texts

Cognitive Computation, 2021
Meanwhile, products and services reviews’ provide a guide for potential customers allowing them to reach real knowledge about such products/services while making decisions. Sentiment classification is the task of analyzing opinions expressed in textual reviews automatically.
Radwa M. K. Saeed, Sherine Rady, Tarek F. Gharib   +2 more
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Rational Kernels for Arabic Text Classification

2013
Many stemming techniques are used in the context of Arabic Text Classification. In this paper, we show the effect of stemming on classification systems. We introduce a new stemming technique -approximate stemming- based on the use of Arabic patterns. These patterns are modeled using transducers and stemming is done without depending on any dictionary ...
Attia Nehar, Djelloul Ziadi, Hadda Cherroun   +2 more
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Enhanced Arabic Information Retrieval System based on Arabic Text Classification

2007 Innovations in Information Technologies (IIT), 2007
The paper presents enhanced, effective and simple approach to text classification. The approach uses an algorithm to automatically classifying documents. The main idea of the algorithm is to select feature words from each document; those words cover all the ideas in the document.
Sameh Ghwanmeh, Ahmad Ababneh, Ghassan Kanaan, Riyad Al-Shalabi   +3 more
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