Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series Prediction.
Nont KanungsukkasemTeerapong LeelanupabPublished in: IEEE Access (2019)
Keyphrases
- latent dirichlet allocation
- text mining
- data mining
- topic models
- feature extraction
- topic modeling
- word counts
- topic discovery
- variational bayesian inference
- latent semantic analysis
- text analysis
- generative model
- probabilistic topic models
- knowledge discovery
- text retrieval
- probabilistic latent semantic analysis
- latent topics
- feature selection
- latent topic models
- image processing
- lda model
- probabilistic model
- text documents
- gibbs sampling
- variational inference
- information extraction
- principal component analysis
- dimensionality reduction
- text corpora
- text classification
- association rules
- hierarchical bayesian model
- cluster analysis
- latent topic model