Feature selection is one of the most interesting problems in machine learning in general and
text categorization in particular. Previous researches in feature selection often focus on …

Text classification has become much more relevant with the increased volume of
unstructured data from various sources. Several techniques have been developed for text …

As an important preprocessing technology in text classification, feature selection can
improve the scalability, efficiency and accuracy of a text classifier. In general, a good feature …

Feature selection is an essential preprocessing step for classifiers with high dimensional
training corpus. Features for text categorization include words, phrases, sentences or …

The problem of feature selection is to find a subset of features for optimal classification. A
critical part of feature selection is to rank features according to their importance for …

Efficient feature selection is an important phase of designing an effective text categorization
system. Various feature selection methods have been proposed for selecting dissimilar …

Feature selection problem is one of the main important problems in the text and data mining
domain. This paper presents a comparative study of feature selection methods for Arabic text …

With increasing speed of information and documents on the Web, need to classify them in
different categories and clusters to be felt. Clustering try to find related structures in datasets …

Text classification is a very important topic. Nowadays there are a huge amount of available
data. This data need to be classified and categorized. Number of researches applied on …

Text categorization is very vital in assisting people to process automatically the information
which increases exponentially. But the high dimensionality of the vector space is a big …