Introduction to Quantitative Text Analysis

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

You learn how to prepare, scale, and classify text data in R. You will use both supervised and unsupervised methods and apply the various techniques on a wide range of text corpora.

Course leader

Lisa Lechner
Assistant Professor of Methods and Methodology
Department of Political Science
University of Innsbruck

Target group

-Master
-PhD
-Post-doc
-Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is designed for those who have research projects on their desk or in their mind involving text data. Students with R-experience will enjoy the course even more as they spend less time learning R and more time analysing exciting text corpora.

Course aim

After this course you are able to:

-Set up efficient workflows for quantitative text analysis (QTA).
-Clean and prepare texts to conduct QTA.
-Classify texts using supervised and unsupervised techniques.
-Scale texts using supervised and unsupervised techniques.

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)