Online customer review classification and analysis have been recognized as an important
problem in many domains, such as business intelligence, marketing, and e-governance. To …

Existing topic models that aim to discover relationships between topics typically focus on two
types of relations: undirected correlation and hierarchy with a tree structure. However, these …

Purpose This study aims to deepen the understanding of consumer engagement and
satisfaction within the health and wellness tourism sector, a rapidly growing niche in the …

The finite inverted beta mixture model (IBMM) has been proven to be efficient in modeling
positive vectors. Under the traditional variational inference framework, the critical challenge …

Topic models that can take advantage of labels are broadly used in identifying interpretable
topics from textual data. However, existing topic models tend to merely view labels as names …

Annotation and analysis of online customer reviews were identified as significant problems
in various domains, including business intelligence, marketing, and e-governance. In the …

Cyber-systems are under near-constant threat from intrusion attempts. Attacks types vary,
but each attempt typically has a specific underlying intent, and the perpetrators are typically …

Dynamic topic modeling is a well established tool for capturing the temporal dynamics of the
topics of a corpus. In this work, we develop a scalable dynamic topic model by utilizing the …

Abstract The Structural Topic Model (STM) incorporates external information about expected
document-topic proportions to enhance the model. Motivated by focus groups, whose …

Social media platforms produce an abundance of user-generated content, which are crucial
for the purpose of both private profits and public benefit. As manual summarization is …