A Generative Model for Topic Discovery and Polysemy Embeddings on Directed Attributed Networks.
Bianfang ChaiXinyu JiJianglin GuoLixiao MaYibo ZhengPublished in: Symmetry (2022)
Keyphrases
- generative model
- topic discovery
- latent dirichlet allocation
- topic models
- probabilistic model
- lda model
- bayesian framework
- topic modeling
- prior knowledge
- posterior probability
- conditional random fields
- text analysis
- text classification
- discriminative learning
- em algorithm
- latent space
- vector space
- variational inference
- image classification
- markov chain monte carlo
- gibbs sampling
- dimensionality reduction
- image processing
- probability distribution
- low dimensional
- text documents
- high dimensional data