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....
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Détails bibliographiques
Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 1 vom: 01. Jan., Seite 305-315
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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
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Accès à la collection: | IEEE transactions on visualization and computer graphics
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Sujets: | Journal Article |