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The ABC of Computational Text Analysis. BA Seminar, Spring 2022, University of Lucerne

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KED2022

This repository contains all the material for the following course that I teach at the University of Lucerne:

Seminar Kleines Einmaleins des Digitalen - Computergestützte Textanalyse: Universität Luzern, 2022

The course is a gentle introduction to computational methods with a focus on text analysis. The audience are BA students of social sciences with backgrounds in various disciplines (sociology, political science, cultural studies, etc.)

If you're in the class

To get a local copy of the slides and material used in this course, you can simply clone this repository:

git clone https://github.com/aflueckiger/KED2022.git

For anyone else

I'm open-sourcing the course material as I deeply believe in sharing ideas to come up with new and better ones. Feel free to reuse any of the content since the repository has a CC license. If you do so, however, please let me know. I am genuinely interested in which context you are using the material.

Acknowledgements

As always, people stand on the shoulders of others. So do I. I am especially grateful for:

  • the plentiful resources by Kieran Healy that draw me into the world of Markdown.
  • a dataset of speeches given by Swiss Federal Councilors on the Swiss National Day. Simon Schmid (journalist Republik), with the collaboration of Prof. Andreas Kley (Faculty of Law, UZH), collected many of these speeches and kindly shared the resulting dataset with me. The collection comprises 166 speeches, which is a multiple of the publicly available here.