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...

Full description

Bibliographic Details

Published in:	IEEE transactions on visualization and computer graphics Vol. 31; no. 1; pp. 272 - 282
Main Authors:	Palamarchuk, Daniel, Williams, Lemara, Mayer, Brian, Danielson, Thomas, Faust, Rebecca, Deschaine, Larry, North, Chris
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2025
Subjects:	Cluster analysis Clustering algorithms Compass Dynamic topic modeling Electronic mail High dimensional data Streams Training Vectors Visualization
ISSN:	1077-2626, 1941-0506, 1941-0506
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!