Leveraging Multiple Representations of Topic Models for Knowledge Discovery.
Colin M. PottsAkshat SavaliyaArnav JhalaPublished in: IEEE Access (2022)
Keyphrases
- topic models
- multiple representations
- knowledge discovery
- text mining
- topic modeling
- knowledge integration
- latent dirichlet allocation
- text documents
- latent topics
- data mining
- latent topic models
- gibbs sampling
- latent variables
- databases
- co occurrence
- probabilistic model
- data analysis
- generative model
- formal concept analysis
- text corpora
- information retrieval
- hierarchical bayesian model
- association rules
- machine learning
- multi view
- text classification