Bayesian Text Classification and Summarization via A Class-Specified Topic Model.
Feifei WangJunni L. ZhangYichao LiKe DengJun S. LiuPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- topic models
- text classification
- topic modeling
- text mining
- topic discovery
- text documents
- latent dirichlet allocation
- probabilistic model
- variational inference
- latent variables
- bag of words
- gibbs sampling
- text categorization
- latent topics
- feature selection
- co occurrence
- generative model
- machine learning
- data mining
- bayesian networks
- knn
- posterior distribution
- text classifiers
- multi label
- databases
- n gram
- information extraction
- data analysis
- posterior probability
- semantic features
- markov chain monte carlo
- labeled data
- information retrieval
- probabilistic topic models