Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach

Filipe Rodrigues, Ioulia Markou, Francisco Pereira

Accurate time-series forecasting is vital for numerous areas of application such as transportation, energy, finance, economics, etc. However, while modern techniques are able to ex…