Visualizing Temporal Topic Embeddings with a Compass

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 word representations. This prevents the creation of a meaningful embedding space where changes in word usage and documen...

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Vydané v:	IEEE transactions on visualization and computer graphics Ročník 31; číslo 1; s. 272 - 282
Hlavní autori:	Palamarchuk, Daniel, Williams, Lemara, Mayer, Brian, Danielson, Thomas, Faust, Rebecca, Deschaine, Larry, North, Chris
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2025
Predmet:	Cluster analysis Clustering algorithms Compass Dynamic topic modeling Electronic mail High dimensional data Streams Training Vectors Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
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