Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document.
Lan DuWray Lindsay BuntineHuidong JinPublished in: ICDM (2010)
Keyphrases
- latent dirichlet allocation
- topic discovery
- latent topics
- topic models
- lda model
- topic extraction
- topic modeling
- document similarity
- generative model
- text documents
- latent dirichlet
- latent semantic analysis
- statistical topic models
- text mining
- gibbs sampling
- probabilistic latent semantic analysis
- variational bayesian inference
- variational inference
- text analysis
- document retrieval
- latent topic models
- information retrieval
- image classification
- machine learning
- active learning
- latent topic model
- probabilistic model
- generative process
- knowledge discovery
- probabilistic topic models
- dimensionality reduction
- bayesian inference
- topic specific
- text classification
- maximum likelihood
- document collections
- document clustering
- document classification