Text classification is a process of classifying documents into predefined categories through
different classifiers learned from labelled or unlabelled training samples. Many researchers …

Text classification is an important task which may help human reducing time and effort. This
work is aimed to propose an approach for text classification, especially for articles. The …

Textual document set has become an important and rapidly growing information source in
the web. Text classification is one of the crucial technologies for information organisation …

The social media platform has become one of the prime modes of interaction between
different natures of peoples, where they used to share their feelings in the form of textual …

Topic classification is a crucial task where knowledge categories exist within hierarchical
information systems designed to facilitate knowledge search and discovery. An application …

Theoretical Classification of information has become a significant research region. The way
toward ordering archives into predefined classifications dependent on their substance is …

Classification of data has become an important research area. The process of classifying
documents into predefined categories based on their content is Text classification. It is the …

Many text mining techniques have been developed to discover useful knowledge from text
data. However, they produce a large body of knowledge without semantic information, which …

Predicting student performance (PSP) is an important task in the educational environment.
To accomplish this objective, we would like to know whether students correctly solve a given …

This thesis presents a promising boundary setting method for solving challenging issues in
text classification to produce an effective text classifier. A classifier must identify boundary …