Computational Analysis of Political Texts: Bridging Research Efforts Across Communities

This tutorial will provide an overview of the body of work on computational analysis of political texts from both the NLP and political science communities. We cover available resources, methods for topical analysis and text scaling of political texts, as well as their applications to detect ideology and positioning using text as data.

For more information regarding the tutorial and in time necessary files, you can visit the tutorial website of organizers Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto.