The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …

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

The focus of computerised learning has shifted from content delivery towards personalised
online learning with Intelligent Tutoring Systems (ITS). Oscar Conversational ITS (CITS) is a …

This work implements a new text document classifier by integrating the K-nearest neighbor
(KNN) classification approach with the support vector machine (SVM) training algorithm. The …

With the rapid growth of information retrieval technology, Chinese text classification, which is
the basis of information content security, has become a widely discussed topic. In view of the …

This paper investigates the selection of class-specific significant keywords for document
databases. We define two types of significant keywords with respect to a document class …

The analysis of the classifiers assessments based on the definition of informational value of
classification attributes is carried out. The stages of the preprocessing of documents and the …

An efficient term mining method to build a general term network is presented. The resulting
term network can be used for entity relation visualization and exploration, which is useful in …

As technology is advancing day by day, new trends are booming up, like automation, where
traditional libraries are being automated to digital libraries. Therefore, instead of manually …