Text embeddings–mappings of collections of text to points in high-dimensional space–are a
common object of analysis. A classic method to visualize these embeddings is to create a …

Embeddings are powerful tools for transforming complex and unstructured data into numeric
formats suitable for computational analysis tasks. In this paper, we extend our previous work …

We present a virtual reality visualisation of pre-recorded data from approximately 18,000
weather sensors placed across Japan. Utilising the HTC Vive and the Unity engine, we …

Personal networks formed within scientific communities and the collaborations they yield are
one of the driving forces behind innovation and new discoveries. Luckily, successful …

We take a new approach to analyze what the general focus of Visualization research is,
among the panoply of different topics and approaches. Due to the intrinsic characteristics of …

In temporal (or event-based) networks, time is a continuous axis, with real-valued time
coordinates for each node and edge. Computing a layout for such graphs means …

Understanding and maintaining the intended meaning of original text used for citations is
essential for unbiased and accurate scholarly work. To this end, this study aims to provide a …

Semantic interaction (SI) attempts to learn the user's cognitive intents as they directly
manipulate data projections during sensemaking activity. For text analysis, prior …

Virtual Pets serve as companionships and meaningful in-game narratives in the metaverse.
Players have unique personalities and personality preferences for their pets. However, the …

In recent years, interactive visualization to analyze text documents has gained an impressive
momentum. This is not surprising considering the fast increase of electronically available …