Text classification (TC) is an approach used for the classification of any kind of documents
for the target category or out. In this paper, we implemented the Support Vector Machines …

A vast amount of published scholarly literature is generated every day. Today, it is one of the
biggest challenges for organisations to extract knowledge embedded in published scholarly …

Increasing progress in numerous research fields and information technologies, led to an
increase in the publication of research papers. Therefore, researchers take a lot of time to …

The thesis is a requirement for graduation from Bumigora university. The final year student's
problem is determining the research topic because the undergraduate thesis collection of …

Purpose This study aims to identify the trends that have changed in the field of construction
management over the last 20 years. Design/methodology/approach In this study, 3,335 …

Cities shelter more than two thirds of the world's population, and health security in such
environments became a challenge. The outbreak of the SARS-COV-2 pandemic revealed …

News topic classification is a method of classifying news articles available in text data into
some predefined classes or labels. This is one of the applications of text classification. Text …

This paper suggests that in order to create efficient backup and recovery strategy for
database management system, an appropriate unit of analysis and a proper, data is needed …

Web applications nowadays are quite a common asset for any big service-oriented
organization. Communication and interaction are done very easily on the Internet. The …

Big data transform all kinds of businesses, including property management. Although the
application of big data has great potential, it also presents challenges. The purpose of this …