Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back.
Takahiro YoshidaRyohei HisanoTakaaki OhnishiPublished in: CoRR (2020)
Keyphrases
- latent dirichlet allocation
- topic models
- topic modeling
- generative model
- hierarchical bayesian model
- hierarchical dirichlet process
- topic discovery
- lda model
- gibbs sampling
- text mining
- probabilistic latent semantic analysis
- latent topics
- variational bayesian inference
- probabilistic topic models
- variational inference
- maximum likelihood
- variational bayes
- latent topic models
- hierarchical bayesian
- gaussian distribution
- dimensionality reduction
- latent semantic indexing
- data mining
- word sense disambiguation
- hidden markov models
- feature space
- machine learning