Is there macroeconomic predictive power in Swedish business news?
This thesis explores if, and how, what is written in the newspaper can be used to forecast macroeconomic variables such as inflation, unemployment and consumption. A large data set consisting of articles from the largest Swedish business newspaper is transformed using different methods from the Natural Language Processing field. The focus lies on topic modelling by Latent Dirichlet Allocation as w