Results 201 to 210 of about 5,324 (240)

Compression-based arabic text classification

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), 2014
Text classification (TC) is one of the fundamental problems in text mining. Plenty of works exist on TC with interesting approaches and excellent results; however, most of these works follow a word-based approach for feature extraction. In this work, we are interested in an alternative (byte-based or character-based) approach known as compression-based
Haneen Ta'amneh, Ehsan Abu Keshek, Manar Bani Issa, Mahmoud Al-Ayyoub, Yaser Jararweh   +4 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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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.
Rami Ayadi, Mohsen Maraoui, Mounir Zrigui   +2 more
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A comparison of text‐classification techniques applied to Arabic text

Journal of the American Society for Information Science and Technology, 2009
AbstractMany algorithms have been implemented for the problem of text classification. Most of the work in this area was carried out for English text. Very little research has been carried out on Arabic text. The nature of Arabic text is different than that of English text, and preprocessing of Arabic text is more challenging.
Ghassan Kanaan, Riyad Al-Shalabi, Sameh H. Ghwanmeh, Hamda Al-Ma'adeed   +3 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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Active Learning for Arabic Text Classification

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2021
Active Learning explores the use of minimal human intervention to improve the efficiency of supervised machine learning algorithms during the learning/training phase. Active learning improves machine learning algorithms performance, especially for ambiguous or unknown cases that are not clearly defined in the classification criteria applied to data. In
Abdel-Karim Al-Tamimi, Esraa Bani-Isaa, Ahmed Al-Alami   +2 more
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The impact of indexing approaches on Arabic text classification

Journal of Information Science, 2016
This paper investigates the impact of using different indexing approaches (full-word, stem, and root) when classifying Arabic text. In this study, the naïve Bayes classifier is used to construct the multinomial classification models and is evaluated using stratified k-fold cross-validation ( k ranges from 2 to 10).
Amer Al-Badarneh, Emad Al-Shawakfa, Basel Bani-Ismail, Khaleel Al-Rabab'ah, Safwan Shatnawi   +4 more
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Effect of word segmentation on Arabic text classification

2015 International Conference on Asian Language Processing (IALP), 2015
The preprocessing stage in text classification is one of the factors affecting the accuracy of text classification. Text preprocessing involves several steps such as removing stop words, punctuation, and numerals. For Arabic text classification, stemming and root extraction were proposed as additional preprocessing steps.
Abdulmohsen Al-Thubaity, Abdullah Al-Subaie   +1 more
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The Effect of Stemming on Arabic Text Classification

International Journal of Information Retrieval Research, 2011
The information world is rich of documents in different formats or applications, such as databases, digital libraries, and the Web. Text classification is used for aiding search functionality offered by search engines and information retrieval systems to deal with the large number of documents on the web.
Abdullah Wahbeh, Mohammed Al-Kabi, Qasem A. Al-Radaideh, Emad Al-Shawakfa, Izzat Alsmadi   +4 more
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An experimental study for Arabic text classification techniques

SPIE Proceedings, 2012
Several algorithms have been implemented to resolve the problem of text categorization. Most of the work in this area geared for English text, whereas few researches have been conducted on Arabic text. However, the nature of Arabic text is different than English text; pre-processing of Arabic text are more challenging.
Bassam Al-Shargabi, Fekry Olayah
openaire   +1 more source