1 research outputs found
Arabic Text Mining
The rapid growth of the internet has increased the number of online texts.
This led to the rapid growth of the number of online texts in the Arabic
language. The enormous amount of text must be organized into classes to make
the analysis process and text retrieval easier. Text classification is,
therefore, a key component of text mining. There are numerous systems and
approaches for categorizing literature in English, European (French, German,
Spanish), and Asian (Chinese, Japanese). In contrast, there are relatively few
studies on categorizing Arabic literature due to the difficulty of the Arabic
language. In this work, a brief explanation of key ideas relevant to Arabic
text mining are introduced then a new classification system for the Arabic
language is presented using light stemming and Classifier Na\"ive Bayesian
(CNB). Texts from two classes: politics and sports, are included in our corpus.
Some texts are added to the system, and the system correctly classified them,
demonstrating the effectiveness of the system