Published July 18, 2024
| Version v1
Dataset
Open
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations
Creators
-
1.
University of Potsdam
-
2.
Hasso Plattner Institute
- 3. Digital Engineering Faculty
- 4. Utrecht University
- 5. Graz University of Technology (90000)
- 6. Technische Universität Graz
Description
Result Files for the Paper "A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations" to be published at IEEE Vis 2024
Files
results.zip
Additional details
Funding
- Federal Ministry of Education and Research
- AI research group FFS-AI 01IS22062
- Federal Ministry for Economic Affairs and Climate Action
- Decoding Food 16KN086467
- Austrian Research Promotion Agency
- ICT of the Future PRESENT FO999899544
Dates
- Accepted
-
2024-07-152nd Round (Final) Acceptance at IEEE Vis 2024
Software
- Repository URL
- https://github.com/hpicgs/Topic-Models-and-Dimensionality-Reduction-Sensitivity-Study
- Programming language
- Python