Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic
modeling have been developed which consider many kinds of relationships and restrictions …

Being a prevalent form of social communications on the Internet, billions of short texts are
generated everyday. Discovering knowledge from them has gained a lot of interest from both …

Many researchers have studied non-expert users' perspectives of cyber security and privacy
aspects of computing devices at home, but their studies are mostly small-scale empirical …

Bacteria and Archaea display a variety of phenotypic traits and can adapt to diverse
ecological niches. However, systematic annotation of prokaryotic phenotypes is lacking. We …

Topic models can provide us with an insight into the underlying latent structure of a large
corpus of documents. A range of methods have been proposed in the literature, including …

Receiving customer opinions on products and services provided by companies is one of the
main needs of company managers to improve products and services. Today, it is common to …

Abstract Nonnegative Matrix Factorization is a data analysis method to discover parts-based,
linear representations of data. It has been successfully used in a great variety of …

Abstract Massive Open Online Courses (MOOCs) have been widely disseminated due to the
arrival of Web 2.0. However, the growth of MOOCs brings some difficulties for students in …

As the nature of work has become more service oriented, knowledge intensive, and rapidly
changing, people—be they workers or customers—have become more central to …

The social sciences and digital humanities have recently adopted the machine learning
technique of topic modeling to address research questions in their fields. This is problematic …