Discriminative topic modeling based on manifold learning.
Seungil HuhStephen E. FienbergPublished in: KDD (2010)
Keyphrases
- manifold learning
- topic modeling
- semi supervised
- topic models
- feature extraction
- locality preserving
- dimensionality reduction
- latent space
- low dimensional
- latent dirichlet allocation
- text classification
- high dimensional data
- nonlinear dimensionality reduction
- high dimensional
- collaborative filtering
- semi supervised learning
- dimension reduction
- generative model
- latent semantic analysis
- text mining
- feature selection
- unlabeled data
- labeled data
- principal component analysis
- text documents
- active learning
- pairwise
- feature space
- unsupervised learning
- sparse representation
- linear discriminant analysis
- high dimensionality
- support vector
- multiscale
- data mining