The aim of this study is to investigate the impact of feature selection (FS) on the performance
of classifiers for text classification (TC) in Kurdish. TC accuracy can be adversely affected by …

With the extensive growth in information, text classification as one of the text mining
methods, plays a vital role in organizing and management information. Most text …

Text classification is an important task in the field of text mining. Due to the ever-increasing
volume of text data on the Internet, text classification is needed more than ever before. In the …

Recently, researchers have shown an increased interest in kinship verification via facial
images in the field of computer vision. The matter of fact is that kinship verification is done …

Automatic text classification, which is defined as the process of automatically classifying
texts into predefined categories, has many applications in our everyday life and it has …

Currently, the classification issue of Persian articles is sparse, limited, and non-automatic.
So, information can be extracted from the structure of web pages that aids in the usual way …

To classify text information extraction techniques, natural language processing and machine
learning has been widely used general purpose of categories of documents, classified …

In this paper, we present three different approaches for feature selection, starting from a
naïve Markov Chain Monte Carlo random walk algorithm to more refined methods like …