SSCDV: Social media document embedding with sentiment and topics for financial market forecasting.
Kentaro UedaHirohiko SuwaMasaki YamadaYuki OgawaEiichi UmeharaTatsuo YamashitaKota TsubouchiKeiichi YasumotoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- financial markets
- social media
- real world events
- technical indicators
- blog posts
- exchange rate
- social media data
- public opinion
- stock price
- information retrieval
- early warning
- financial time series
- stock market
- sentiment analysis
- social media platforms
- text documents
- keywords
- topic detection
- foreign exchange
- short term
- social media sites
- risk management
- trading strategies
- sentence level
- trading systems
- document level
- opinion retrieval
- opinion mining
- relevance assessments
- sentiment classification
- topic models
- text mining
- long term
- user generated content
- relevant documents
- document collections
- social networks
- data mining
- topic modeling
- non stationary
- query expansion
- black scholes