[HTML][HTML] A comparative survey on Arabic stemming: approaches and challenges
Arabic, as one of the Semitic languages, has a very rich and complex morphology, which is
radically different from the European and the East Asian languages. The derivational system …
radically different from the European and the East Asian languages. The derivational system …
[PDF][PDF] Arabic text classification using N-gram frequency statistics a comparative study
L Khreisat - Conference on Data Mining| DMIN, 2006 - Citeseer
This paper presents the results of classifying Arabic text documents using the N-gram
frequency statistics technique employing a dissimilarity measure called the “Manhattan …
frequency statistics technique employing a dissimilarity measure called the “Manhattan …
An intelligent system for Arabic text categorization
MM Syiam, MF Tolba, ZT Fayed… - International journal …, 2006 - research.utwente.nl
Text Categorization (classification) is the process of classifying documents into a predefined
set of categories based on their content. In this paper, an intelligent Arabic text …
set of categories based on their content. In this paper, an intelligent Arabic text …
A machine learning approach for Arabic text classification using N-gram frequency statistics
L Khreisat - Journal of Informetrics, 2009 - Elsevier
In this paper a machine learning approach for classifying Arabic text documents is
presented. To handle the high dimensionality of text documents, embeddings are used to …
presented. To handle the high dimensionality of text documents, embeddings are used to …
[PDF][PDF] The impact of text preprocessing and term weighting on arabic text classification
MK Saad - Gaza: Computer Engineering, the Islamic University, 2010 - ajsrp.com
This research presents and compares the impact of text preprocessing, which has not been
addressed before, on Arabic text classification using popular text classification algorithms; …
addressed before, on Arabic text classification using popular text classification algorithms; …
[PDF][PDF] Arabic Text Classification Using Support Vector Machines.
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 …
categories based on their content. Arabic language is highly inflectional and derivational …
Integrated access point placement and channel assignment for wireless LANs in an indoor office environment
A Eisenblatter, HF Geerdes… - 2007 IEEE international …, 2007 - ieeexplore.ieee.org
Wireless Local Area Network (WLAN) is currently among the most important technologies for
wireless broadband access. The IEEE 802.11 technology is attractive for its maturity and low …
wireless broadband access. The IEEE 802.11 technology is attractive for its maturity and low …
[PDF][PDF] Detecting and classifying crimes from arabic twitter posts using text mining techniques
Crime analysis has become a critical area for hel** law enforcement agencies to protect
civilians. As a result of a rapidly increasing population, crime rates have increased …
civilians. As a result of a rapidly increasing population, crime rates have increased …
A novel Arabic lemmatization algorithm
Tokenization is a fundamental step in processing textual data preceding the tasks of
information retrieval, text mining, and natural language processing. Tokenization is a …
information retrieval, text mining, and natural language processing. Tokenization is a …
[PDF][PDF] Effective Arabic stemmer based hybrid approach for Arabic text categorization
Text pre-processing of Arabic Language is a challenge and crucial stage in Text
Categorization (TC) particularly and Text Mining (TM) generally. Stemming algorithms can …
Categorization (TC) particularly and Text Mining (TM) generally. Stemming algorithms can …