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57 articles for “Arabic Text”
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Research ArticleOpen accessPhrase in the titleArabic Text Steganography Using Unicode of Non-Joined to Right Side LettersAtef A. ObeidatSteganography is a technique for hiding data in media in a way that makes its existence hard to detect. Text files are a preferable format for use in steganography due to the small storage size of such files. This paper presents an Arabic text steganographic algorithm based on Unicode. The algorithm imposes a minimal change on connected letters without any … …Journal of Computer Science, Vol. 13, Issue 6 · 24 Jun 2017 · 7,540 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEnhancement of Arabic Text Classification Using Semantic Relations of Arabic WordNetSuhad A. Yousif, Venus W. Samawi, Islam Elkabani, Rached ZantoutArabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information (written in Arabic language) on the web. In most text classification processes, feature selection is crucial task since it highly affects the classification accuracy. Generally, two types of features could be used: Statistical based features and semantic and concept … …Journal of Computer Science, Vol. 11, Issue 3 · 15 Apr 2015 · 8,065 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA COMPARATIVE STUDY OF COMBINED FEATURE SELECTION METHODS FOR ARABIC TEXT CLASSIFICATIONAisha Adel, Nazlia Omar, Adel Al-ShabiText classification is a very important task due to the huge amount of electronic documents. One of the problems of text classification is the high dimensionality of feature space. Researchers proposed many algorithms to select related features from text. These algorithms have been studied extensively for English text, while studies for Arabic are still limited. This study introduces an investigation … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,433 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStatistical Bayesian Learning for Automatic Arabic Text CategorizationBassam Al-Salemi, Mohd. Juzaiddin Ab AzizProblem statement: The rapid increasing of online Arabic documents necessitated applying Text Categorization techniques that are commonly used for English language to categorize them automatically. The complex morphology of Arabic language and its large vocabulary size make applying these techniques directly difficult and costly in time and effort. Approach: We have investigated Bayesian learning models in order to enhance Arabic … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,399 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleStatistical Part-of-Speech Tagger for Traditional Arabic TextsYahya O. Mohamed ElhadjProblem statement: This study presented the development of an Arabic part-of-speech tagger that can be used for analyzing and annotating traditional Arabic texts, especially the Quran text. Approach: It is a part of a project related to the computerization of the Holy Quran. One of the main objectives in this project was to build a textual corpus of the Holy … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,026 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleParsing Arabic Texts Using Rhetorical Structure TheoryH. I. Mathkour, A. A. Touir, W. A. Al-SaneaProblem Statement: Processing texts based on rhetorical structure theory has shown interesting results. Rhetorical Structure Theory (RST) improves the ability of extracting the semantic behind the processed text. Different applications such as information retrieval, text summarization, and text generation have proved to give better result using RST. The applicability of RST to process and understand texts has been studied in … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 7,389 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAraSenti-MARBERT-DynGCN: An Advanced Framework for Sarcasm Detection in Arabic TextBassma M Mousa, Mohammed H. Haggag, Mervat GheithSarcasm detection in Arabic texts is challenging because of the complexity in Arabic morphology, the multitudes of dialects used by native speakers, and its strong reliance on context. The lack of standardized orthography in most written forms of Arabic, combined with the frequent use of colloquialisms and metaphorical expressions, makes the task all the more difficult when trying to detect … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,562 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAuthorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training DataFatma Howedi, Masnizah Mohd, Zahra Aborawi Aborawi, Salah A. JowanAuthorship Attribution (AA) is a task that aims to recognize the authorship of unknown texts based on writing style. Out of the various approaches to solve the AA problem, Stylometry is a promising one. This paper explores the use of a K-Nearest Neighbor (KNN) classifier combined with stylometry features to perform AA. This study indicates the robustness of KNN in … …Journal of Computer Science, Vol. 16, Issue 10 · 3 Oct 2020 · 8,190 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Efficient Approach to Hide Compressed Voice Data in Arabic Text using Kashida and "La"Sabeeka M. Al-Oun, Jehad Q. Odeh AlnihoudIn this research, we propose a new approach to increase the capacity and enhance the reliability of hiding voice data in Arabic text. Using Kashida to hide bits in Arabic text is one of the most promising approaches in steganography. Unfortunately, ignoring the original Kashida in the cover text may affect the results significantly and produce inaccurate results in the … …Journal of Computer Science, Vol. 13, Issue 3 · 28 Mar 2017 · 7,788 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHeuristic Lemmatization for Arabic Texts Indexation and ClassificationFaten Khalfallah Hammouda, Abdelsalam Abdelhamid AlmarimiProblem statement: This study proposed a system based on a heuristic lemmatization for Arabic text indexation and classification. This research is needed for a lot of NLP applications such as the research of information and automatic abstract. This system was not related to any linguistic rule. The proposed method was limited to five different domains: Sports, medicine, politics, economics and … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 6,974 accessesView PDFCite