Topic models have been applied to everything from books to newspapers to social media
posts in an effort to identify the most prevalent themes of a text corpus. We provide an in …

Cybersecurity threats continue to increase and are impacting almost all aspects of modern
life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights …

Named entities are usually composable and extensible. Typical examples are names of
symptoms and diseases in medical areas. To distinguish these entities from general entities …

Social media and online news content are increasing rapidly. The goal of this work is to
identify the topics associated with this content and understand the changing dynamics of …

Embedding news articles is a crucial tool for multiple fields, such as media bias detection,
identifying fake news, and news recommendations. However, existing news embedding …

In scientific disciplines where research findings have a strong impact on society, reducing
the amount of time it takes to understand, synthesize and exploit the research is invaluable …

As cybersecurity-related threats continue to increase, understanding how the field is
changing over time can give insight into combating new threats and understanding historical …

With the rapid development of Service-Oriented Architecture that enables rapid composition
and integration of large-scale distributed systems, the number of web accessible services …

We describe an approach using dynamic topic modeling to model influence and predict
future trends in a scientific discipline. Our study focuses on climate change and uses …

Data has evolved rapidly since the inception of topic models over twenty years ago. The
most popular topic models perform poorly on large contemporary data sets that contain …