A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations.
Daniel AtzbergerTim CechWilly ScheibelJürgen DöllnerMichael BehrischTobias SchreckPublished in: CoRR (2024)
Keyphrases
- sensitivity analysis
- dimensionality reduction
- managerial insights
- influence diagrams
- information retrieval
- high dimensional
- low dimensional
- keywords
- variational inequalities
- text retrieval
- latent space
- vector space
- decision variables
- feature space
- text data
- free text
- small scale
- dynamic programming
- database
- text mining
- video collections
- euclidean space
- lower dimensional
- computational complexity
- high dimensional data
- concept space
- gaussian process latent variable models
- real world