Neural labeled LDA: a topic model for semi-supervised document classification.
Wei WangBing GuoYan ShenHan YangYaosen ChenXinhua SuoPublished in: Soft Comput. (2021)
Keyphrases
- document classification
- topic models
- semi supervised
- text documents
- latent dirichlet allocation
- text mining
- supervised learning
- generative model
- topic modeling
- semi supervised learning
- latent topics
- active learning
- text categorization
- labeled data
- unlabeled data
- latent variables
- text classification
- pairwise
- training data
- text analysis
- web documents
- lda model
- unsupervised learning
- probabilistic model
- co occurrence
- markov networks
- gibbs sampling
- co training
- news articles
- topic discovery
- training examples
- artificial intelligence
- data mining
- document clustering
- named entities
- classification algorithm
- knowledge discovery
- training set
- data analysis
- probabilistic topic models
- data sets
- nearest neighbor
- text classifiers
- variational inference