CFTM: Continuous time fractional topic model
By Kei Nakagawa, Kohei Hayashi, Yugo Fujimoto
Rating
1409
Battle Count: 20
Relevance
6/10
The model could be useful for analyzing long-term trends in financial news and market sentiment, potentially informing trading strategies
Implementation Complexity
7/10
Implementing fractional Brownian motion and solving stochastic differential equations may require advanced mathematical and programming skills
Reproducibility
3/5
The paper provides theoretical foundations and some experimental details, but lacks specific implementation code
About this paper
Methodology: Continuous Time Fractional Topic Model (cFTM). Problem types: Topic Modeling, Time Series Analysis.
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