Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling.
Hossein SoleimaniDavid J. MillerPublished in: CIKM (2016)
Keyphrases
- classification accuracy
- document classification
- multi label
- topic models
- text categorization
- semi supervised
- text classification
- feature selection
- text documents
- semi supervised learning
- unlabeled data
- text mining
- active learning
- multi label classification
- generative model
- topic modeling
- unsupervised learning
- labeled data
- latent dirichlet allocation
- naive bayes
- image annotation
- latent variables
- natural language
- supervised learning
- machine learning
- probabilistic model
- pairwise
- markov networks
- k nearest neighbor
- graph cuts
- co occurrence
- knn
- max margin
- news articles
- bag of words
- class labels
- web documents
- image classification
- classification algorithm
- natural language processing
- learning algorithm
- support vector
- support vector machine
- document clustering
- statistical topic models
- n gram
- decision trees
- image segmentation
- data analysis
- learning process
- data mining
- information extraction