Text clustering is one of the most commonly used methods for detecting themes or types of
documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to …

Text Mining is a set of techniques that analyzes large masses of data, extract relations that
are unknown beforehand, and provide solutions to help decision-making. Text mining had …

The ongoing growth in the vast amount of digital documents and other data in the Arabic
language available online has increased the need for classification methods that can deal …

Stemming is a process of reducing inflected words to their stem or root from a generally
written word form. This process is used in many text mining application as a feature selection …

Text Clustering consists of grouping objects of similar categories. The initial centroids
influence operation of the system with the potential to become trapped in local optima. The …

ABSTRACT The Intergovernmental Panel on Climate Change and the Intergovernmental
Science-Policy Platform on Biodiversity and Ecosystem Services have emphasised …

Research Article The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of
Classification Page 1 Research Article The Use of Stemming in the Arabic Text and Its Impact …

The explosive increase in the number of biometric images saved in most databases has
made image indexing mandatory. These processes could influence the speed of data …

In the last few years, there has been an increase of the interest on Modern Standard Arabic.
There is where computational linguistics fits in. This paper analyses the intersection …