54 citations · 59 across the 12 of their papers we have counts for
4 papers · 1 filter
Visualizing Temporal Topic Embeddings with a Compass
Daniel Palamarchuk, Lemara Williams, Brian Mayer +4
Dynamic topic modeling is useful at discovering the development and change in latent topics over time. However, present methodology relies on algorithms that separate document and…
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings
Wei Liu, Chris North, Rebecca Faust
Dimension reduction (DR) can transform high-dimensional text embeddings into a 2D visual projection facilitating the exploration of document similarities. However, the projection o…
ImageSI: Semantic Interaction for Deep Learning Image Projections
Jiayue Lin, Rebecca Faust, Chris North
Semantic interaction (SI) in Dimension Reduction (DR) of images allows users to incorporate feedback through direct manipulation of the 2D positions of images. Through interaction,…
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning
Yali Bian, Rebecca Faust, Chris North
An increasing number of studies have utilized interactive deep learning as the analytic model of visual analytics systems for complex sensemaking tasks. In these systems, tradition…