Modelling News Sentiment Flow Using Spatial Hawkes Processes: Dependencies Between Topics and Countries
This Master Thesis proposes to use a Spatial Hawkes Process to model the news flow in the world. The spatial part is divided in both geographical areas as well as different topics. Therefore, in the Hawkes model every news article corresponds to a point in space and time. In a certain region and topic the intensity of the released articles will be modelled with the Hawkes Process. This can be of i
