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Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network
To collectively forecast the demand for ride-sourcing services in all regions of a city, the deep learning approaches have been applied with commendable results.
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network
Spatial and temporal features are critical for demand forecasting in BSSs, but it is challenging to extract spatiotemporal dynamics.
EFSA: Towards Event-Level Financial Sentiment Analysis
In this paper, we extend financial sentiment analysis~(FSA) to event-level since events usually serve as the subject of the sentiment in financial text.
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