From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
Ramnath BalasubramanyanBhavana Bharat DalviWilliam W. CohenPublished in: ECML/PKDD (2) (2013)
Keyphrases
- topic models
- semi supervised learning
- topic modeling
- unsupervised learning
- semi supervised
- latent dirichlet allocation
- co occurrence
- unlabeled data
- labeled data
- latent topics
- machine learning
- supervised learning
- probabilistic model
- statistical topic models
- co training
- text documents
- active learning
- generative model
- text mining
- clustering method
- training data
- transfer learning
- feature extraction
- clustering algorithm
- feature set
- named entities
- data mining
- multiple kernel learning
- pairwise
- document clustering
- text categorization
- feature space
- k means
- dirichlet process mixture models
- prior knowledge