In the information era, enormous amounts of data have become available on hand to
decision makers. Big data refers to datasets that are not only big, but also high in variety and …

This work presents an overview of the text mining area, considering the most common
techniques, and including proposals based on the application of fuzzy sets. Besides, some …

Very large volumes of data analytics study the uncovering of hidden patterns, interplay, and
other discoveries. Today's technology enables data analyzing and obtaining answers …

Social media websites allow users to communicate with each other through several tools
like chats, discussion forums, comments etc. This results in learning and sharing of important …

Purpose The increasing competition among higher education institutions (HEI) has led
students to conduct a more in-depth analysis to choose where to study abroad. Since …

This paper aims to examine the critical discourse on responses to worship regulations
during the coronavirus (COVID-19) pandemic. Diverse responses emanated from the media …

Advances in the availability and sophistication of software to facilitate the analysis of
secondary data have contributed toward the growth of textual analysis. 10-K reports are a …

Emotion Detection is one of the most emerging issues in human machine interaction.
Detecting emotional state of a person from textual data is an active research field along with …

Text mining, also known as Intelligent Text Analysis is an important research area. It is very
difficult to focus on the most appropriate information due to the high dimensionality of data …

Incremental learning is a core necessity in developments towards intelligent machines.
Artificial learning as implemented in contemporary neural network algorithms does not fully …