Computing paper similarity based on latent dirichlet allocation.
Duck-Ho BaeSeok-Ho YoonTae-Hwan EomJiwoon HaYoung-Sup HwangSang-Wook KimPublished in: ICUIMC (2014)
Keyphrases
- latent dirichlet allocation
- topic models
- generative model
- topic modeling
- text mining
- variational bayesian inference
- lda model
- topic discovery
- latent topics
- variational inference
- probabilistic latent semantic indexing
- gibbs sampling
- latent topic models
- probabilistic latent semantic analysis
- co occurrence
- high dimensional
- machine learning
- probabilistic topic models
- databases
- dimensionality reduction
- hierarchical bayesian
- information retrieval
- pattern recognition
- latent variables
- model selection