Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

The last decade has witnessed many visual analytics (VA) systems that make successful
applications to wide-ranging domains like urban analytics and explainable AI. However …

Abundant tourism user-generated content (UGC) contains a wealth of cognitive and
emotional information, providing valuable data for building destination images that depict …

The voluminous nature of geospatial temporal data from physical monitors and simulation
models poses challenges to efficient data access, often resulting in cumbersome temporal …

Recommendation algorithms have been leveraged in various ways within visualization
systems to assist users as they perform of a range of information tasks. One common focus …

Understanding and comparing the evolution of public opinions on a social media event is
important. However, such a task requires summarizing rich semantic information and an in …

Motivated by the emergence of large language models, we conduct a benchmark of
sentence embeddings used to represent short texts in textual stream clustering. We achieve …

We present a visual computing framework for analysing moral rhetoric on social media
around controversial topics. Using Moral Foundation Theory, we propose a methodology for …

Government decision-making refers to the process of making decisions by government
departments in various domains, such as politics, economics, and culture, based on …

Large language models (LLMs), such as ChatGPT, have demonstrated outstanding
performance in various fields, particularly in natural language understanding and generation …