Arabic documents are massively rising due to numerous contents utilized in websites, social media, and news articles. The classification of such labelled categories is a significant vital task that deserves more attention. Text Classification an emerging research theme Natural Language Processing. Recently, Deep Neural Network approaches have successfully been applied many text problems, especi...

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...

Purpose – Recently, classification of Arabic documents is a real problem for juridical centers. In this case, some of the Lebanese official journal documents are classified, and the center has to classify new documents based on these documents. This paper aims to study and explain the useful application of supervised learning method on Arabic texts using N-gram as an indexing method (n1⁄4 3). D...

The high variety in the forms of Arabic words creates significant complexity related challenges Natural Language Processing (NLP) tasks for text. These can be dealt with by using different techniques semantic representation, such as word embedding methods. In addition, approaches reducing diversity morphologies also employed, example appropriate normalisation texts. Deep learning has proven to ...

Problem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a nove...

Offline Arabic handwriting character recognition (AHCR) systems are very important since they make life easier for governments, researchers and scholars who are dealing with Arabic language in education, documentation and security. A widening use of the Arabic script in countries that deals with the Arabic language and countries that use the Arabic script in their languages such as Persian and ...

The complexities of Arabic language in morphology, orthography and dialects makes sentiment analysis for Arabic more challenging. Also, text feature extraction from short messages like tweets, in order to gauge the sentiment, makes this task even more difficult. In recent years, deep neural networks were often employed and showed very good results in sentiment classification and natural languag...