Political discourse is constantly in flux: the key issues, the actors that define the discourseare changing from moment to moment. Quantitative approaches to discourse are an impor-
tant methodological tool that can help researchers measure the structure of and changes
in discourse. However, existing approaches are often time-consuming and not scalable to
large datasets. In this thesis, I apply a fully automated approach to discourse analysis that
combines Structural Topic Modeling and Network Analysis. I apply the model to a novel
dataset of the Brexit negotiations in British parliament. I find that the method captures the
state of relations between actors and the progress in the negotiation process.