Using latent Dirichlet allocation to improve text classification performance of support vector machine.
Yaw-Huei ChenShu-Fong LiPublished in: CEC (2016)
Keyphrases
- latent dirichlet allocation
- text classification
- topic discovery
- topic models
- support vector machine
- topic modeling
- text mining
- generative model
- variational bayesian inference
- feature selection
- text documents
- lda model
- latent topics
- gibbs sampling
- text categorization
- machine learning
- probabilistic topic models
- semantic features
- knn
- learning algorithm