In recent years, working on text classification and analysis of Arabic texts using machine
learning has seen some progress, but most of this research has not focused on Arabic …

Analysis of poetic text is very challenging from computational linguistic perspective.
Computational analysis of literary arts, especially poetry, is very difficult task for …

Literature of country represents the prosperity of that country. India, being a multilingual
country, is having a rich heritage and literature. In order to retrieve literature pieces easily, it …

This work presents a novel method for recognizing and extracting classical Arabic poems
found in textual sources. The method utilizes the basic classical Arabic poem features such …

A vast amount of valuable human knowledge is recorded in documents. The rapid growth in
the number of machine-readable documents for public or private access necessitates the …

Computational analysis of poetry is a challenging and interesting task in NLP. Human
expertise on stylistics and aesthetics of poetry is generally expensive and scarce. In this …

Problem statement: Traditional Malay poetry called pantun is a form of art to express ideas,
emotions and feelings in the form of rhyming lines. Malay poetry usually has a broad and …

Applications of automatic text classification to one of many possible categories extend
frequently in many information system and domain areas. Research on different methods of …

Arabic text classification is one application of Natural Language Processing (NLP). It has
been used to analyze and categorize Arabic text. Analyzing text has become an essential …

The world has witnessed an information explosion in the past two decades. Electronic
devices are now available in many varieties such as PCs, Laptops, book readers, mobile …