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: CoRR (2024)
Keyphrases
- automatic detection
- latent dirichlet allocation
- financial news
- topic models
- topic modeling
- stock market
- generative model
- topic discovery
- latent topics
- lda model
- short term
- text mining
- news stories
- gibbs sampling
- dimensionality reduction
- historical data
- hong kong
- variational bayesian inference
- probabilistic latent semantic analysis
- topic extraction
- data mining techniques
- probabilistic model
- long term
- stock price
- hidden markov models
- latent topic models