sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics.
Yi YangKunpeng ZhangYangyang FanPublished in: Inf. Syst. Res. (2023)
Keyphrases
- topic models
- text analytics
- text mining
- topic modeling
- latent dirichlet allocation
- variational inference
- text corpora
- text documents
- text data
- posterior distribution
- latent variables
- free text
- information retrieval
- machine learning
- text classification
- latent topics
- semi supervised
- bayesian networks
- probabilistic model
- knowledge discovery
- learning algorithm
- information extraction
- generative model
- business intelligence
- natural language processing
- text analysis
- data mining
- bayesian inference
- named entities
- maximum likelihood
- supervised learning
- computational linguistics
- unsupervised learning
- document clustering
- visual data mining
- co occurrence
- three dimensional
- artificial intelligence