Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …

Social media platforms are popular for expressing personal views, emotions and beliefs.
Social media platforms are influential for propagating extremist ideologies for group …

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

In this paper, we consider the task of text categorization as a graph classification problem.
By representing textual documents as graph-of-words instead of historical n-gram bag-of …

AbstrakText Mining bertujuan untuk menemukan informasi berharga yang tersembunyi baik
dari sumber informasi terstruktur dan tidak terstruktur. Web merupakan sumber utama …

There is an increasing unstructured text data produced in cross-enterprise social interaction
media, forming a social interaction context that contains massive manufacturing …

Advances in multimedia data acquisition and storage technology have led to the growth of
very large multimedia databases. Analyzing this huge amount of multimedia data to discover …

Because of large amounts of unstructured text data generated on the Internet, text mining is
believed to have high commercial value. Text mining is the process of extracting previously …

Abstract Machine Learning (ML) studies algorithms which can learn from data to gain
knowledge from experience and to make decisions and predictions. Health Informatics (HI) …

Manual grading of essays by humans is time-consuming and likely to be susceptible to
inconsistencies and inaccuracies. In recent years, an abundance of research has been done …