A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations

The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on two-dimensional scatterplot layouts. These layouts result from a dimensionality reduction on the document-term matrix or a representation within a latent embedding, including topic models....

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 1 vom: 01. Jan., Seite 305-315
Auteur principal: Atzberger, Daniel (Auteur)
Autres auteurs: Cech, Tim, Scheibel, Willy, Dollner, Jurgen, Behrisch, Michael, Schreck, Tobias
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article