Automation of the Cognitive Mapping Text-analysis Technique

Political speeches of european leaders contain a lot of information. Scientists analyse them to learn more about the directions and relations in certain political themes across countries and over time. In this project we try to automate one of those text analysis methods: cognitive mapping. The aim of cognitive mapping is to find concepts that are causally related to each other, then find patterns in those causal relationships. We automate part of the cognitive mapping analysis pipeline using machine learning and annotation software.