Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation.
Silvia García-MéndezFrancisco de Arriba PérezAna Barros-VilaFrancisco J. González-CastañoEnrique Costa-MontenegroPublished in: Appl. Intell. (2023)
Keyphrases
- automatic detection
- latent dirichlet allocation
- financial news
- topic models
- topic modeling
- topic discovery
- stock market
- generative model
- short term
- latent topics
- lda model
- text mining
- news stories
- topic extraction
- probabilistic latent semantic analysis
- gibbs sampling
- historical data
- hong kong
- variational bayesian inference
- data mining techniques
- stock price
- text documents
- hierarchical bayesian model
- text corpora
- knn
- probabilistic topic models
- probabilistic model
- pairwise
- support vector
- data mining