Automated text classification has been considered as a vital method to manage and process
a vast amount of documents in digital forms that are widespread and continuously …

In this paper, genetic algorithm oriented latent semantic features (GALSF) are proposed to
obtain better representation of documents in text classification. The proposed approach …

Designing a good feature selection (FS) algorithm is of utmost importance especially for text
classification (TC), wherein a large number of features representing terms or words pose …

In this informative age, we find many documents are available in digital forms which need
classification of the text. For solving this major problem present researchers focused on …

Text classification is becoming more and more important with the rapid growth of on-line
information available. This paper describes the text classification process. Of course, a …

Text classification is the process of automatically assigning predefined categories to free
text, which is very important to information retrieval and many other applications. Of it, the …

One of the difficult challenges facing data miners is that algorithm performance degrades if
the feature space contains redundant or irrelevant features. Therefore, as a critical …

Text Classification plays an important role in information extraction and summarization, text
retrieval, and question-answering. The Discriminative Multinomial Naive Bayes classifier …

Abstract The Broadband Internet industry is highly competitive, with service providers
investing heavily in network development to meet customer demands and competing on …

Categorization is the process in which ideas and objects are recognized, differentiated and
understood. Categorization implies that objects are grouped into categories, usually for …