A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation.
Hongshu ChenGuangquan ZhangJie LuDonghua ZhuPublished in: FUZZ-IEEE (2015)
Keyphrases
- latent dirichlet allocation
- topic models
- topic modeling
- topic discovery
- lda model
- generative model
- latent topics
- text mining
- probabilistic latent semantic analysis
- information retrieval
- gibbs sampling
- text documents
- dimensionality reduction
- co occurrence
- probabilistic model
- probabilistic topic models
- machine learning
- variational bayesian inference
- topic extraction
- word counts
- variational inference
- association rules
- hierarchical bayesian model