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Automation of the Cognitive Mapping Text-analysis Technique

Making sense of political speeches

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.

Participating organisations

Social Sciences & Humanities
Social Sciences & Humanities
Netherlands eScience Center
Utrecht University

Output

Team

FvE
Femke van Esch
Principal investigator
Utrecht University
Sven van der Burg
Sven van der Burg
eScience Research Engineer
Netherlands eScience Center
Erik Tjong Kim Sang
eScience Research Engineer
Netherlands eScience Center
Jisk Attema
Programme Manager
Netherlands eScience Center

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Software developed in the project Automation of the Cognitive Mapping Text-analysis Technique

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