2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 2 cited
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…
cs.HC2024★ 1 cited
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…