A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information.
Xi ZouYuelong ZhuJun FengJiamin LuXiaodong LiPublished in: IEEE Access (2019)
Keyphrases
- topic models
- label information
- latent dirichlet allocation
- topic modeling
- semi supervised
- pitman yor process
- dimensionality reduction
- labeled data
- latent topics
- text documents
- text mining
- class labels
- training data
- generative model
- geometric structure
- latent variables
- unlabeled data
- probabilistic model
- transfer learning
- co occurrence
- distance metric
- unsupervised learning
- semi supervised learning
- probabilistic topic models
- variational inference
- author topic model
- statistical topic models
- microblog posts
- high dimensional
- multiple types
- image processing
- information retrieval
- bayesian networks
- principal component analysis
- machine learning