With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

Text classification is a very important area in information retrieval. Text classification
techniques used to classify documents into a set of predefined categories. There are several …

With the evolution of Internet, the meaning and accessibility of text documents and electronic
information has increased. The automatic text categorization methods became essential in …

High dimensionality of text data hinders the performance of classifiers making it necessary to
apply feature selection for dimensionality reduction. Most of the feature ranking metrics for …

Text categorization, which consists of automatically assigning documents to a set of
categories, usually involves the management of a huge number of features. Most of them are …

The field of law in Morocco is behind on progress to other fields, where the archiving of legal
documents is done manually and the access to the information is increasingly complex. In …

We propose a set of (machine learning) ML-based scoring measures for conducting feature
selection. We've tested these measures on documents from two well-known corpora …

Data quality estimation has become an important research axis in applications when
defining useful information is required. Determining useful information is an essential task in …

No doubt that text classification is an important research area in information retrieval. In fact
there are many researches about text classification in English language. A few researchers …

Text classification is an important topic. The number of electronic documents available on
line is massive. Text classification aims to classify documents into a set of predefined …