Purpose: This study analysed text mining from full-text articles and abstracts by postgraduate
students in selected Nigeria universities. Design/methodology/approach: The study adopted …

Academic resources documents contain important knowledge and research results. They
have highly quality information. However, they are lengthy and have much noisy results …

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 …

At present, applying text mining techniques to educational data is attracting much research
attention. The present study uses text mining techniques to examine posters prepared by …

Nowadays, research in text mining has become one of the widespread fields in analyzing
natural language documents. The present study demonstrates a comprehensive overview …

The massive amount of text related to education provides rich information to support
education in many aspects. In the meantime, the vast yet increasing volume of text makes it …

Text mining is a semi-automated process of extracting knowledge from a large amount of
unstructured data. Given that the amount of unstructured data being generated and stored is …

Text mining is a rapidly growing field in computer science that is used to extract meaningful
information from text data. This information can be used for various applications, such as …

The rise of artificial intelligence (AI) in higher education has sparked significant interest.
Artificial intelligence offers opportunities for global learning, personalized instruction, and …

There has recently been a tremendous increase in published articles and research papers.
Such documents are stored in electronic format, but the data is semi-structured or …