Seed-Guided Topic Model for Document Filtering and Classification.
Chenliang LiShiqian ChenJian XingAixin SunZongyang MaPublished in: ACM Trans. Inf. Syst. (2019)
Keyphrases
- information retrieval systems
- topic models
- document collections
- latent dirichlet allocation
- information retrieval
- text documents
- latent topics
- text mining
- document classification
- topic modeling
- support vector machine
- probabilistic model
- gibbs sampling
- topic discovery
- text classification
- pattern classification
- probabilistic topic models
- feature selection
- machine learning
- classification algorithm
- class labels
- image classification
- co occurrence
- training set
- support vector
- data mining
- latent variables
- generative model
- natural language processing
- multi class
- lda model
- baseline models
- language modeling framework
- microblog posts