Different Classification Algorithms Based on Arabic Text Classification: Feature Selection Comparative Study
نویسندگان
چکیده
منابع مشابه
A Comparative Study on Arabic Text Classification
This paper focuses on Automatic Arabic classifications. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In classifying Arabic text, there are many published experimental results. Since these results came from different datasets, authors and evaluation metrics, we cannot compare the performance of the experimented classifiers. In this pape...
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Feature selection is essential for effective and accurate text classification systems. This paper investigates the effectiveness of six commonly used feature selection methods, Evaluation used an in-house collected Arabic text classification corpus, and classification is based on Support Vector Machine Classifier. The experimental results are presented in terms of precision, recall and Macroave...
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We study the performance of Arabic text classification combining various techniques: (a) tfidf vs. dependency syntax, for feature selection and weighting; (b) class association rules vs. support vector machines, for classification. The Arabic text is used in two forms: rootified and lightly stemmed. The results we obtain show that lightly stemmed text leads to better performance than rootified ...
متن کاملText Summarization as Feature Selection for Arabic Text Classification
Text classification (TC) or text categorization task is assigning a document to one or more predefined classes or categories. A common problem in TC is the high number of terms or features in document(s) to be classified (the curse of dimensionality). This problem can be solved by selecting the most important terms. In this study, an automatic text summarization is used for feature selection. S...
متن کاملA Comparative Study of combined Feature Selection Methods for Arabic Text Classification
Text 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 investi...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2015
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2015.060228