General information

Course name	Seminar: 1.07.473 Introduction to quantitative text analysis
Subtitle	Advanced Topics in Political Science
Course number	1.07.473
Semester	WiSe25/26
Current number of participants	12
expected number of participants	25
Home institute	Department of Social Sciences
Associated institutions	Graduiertenschule für Gesellschafts- und Geisteswissenschaften (3GO)
Courses type	Seminar in category Teaching
First date	Thursday, 16.10.25, 10:00 - 12:00 o'clock A06 3-313 (OLExS-Labor)
Type/Form	S 2 SWS
Lehrsprache	englisch

Lecturers

Dylan Paltra, (he/him)

Rooms and times

A06 3-313 (OLExS-Labor)

Thursday, 10:00 - 12:00, Weekly (from 16.10.25)

No room

Wednesday, 21.01.26, 14:00 - 16:00 o'clock

Fields of study

Campusmanagementsystem Stud.IP
- Interdisziplinäre Lehreinrichtungen
  - PhD Programmes
- Fakultät I - Bildungs- und Sozialwissenschaften
  - Weitere Veranstaltungen: Sonderpädagogik
    - Sonderpädagogik
      - Doktorandenzentrum

Module assignments

Campusmanagementsystem Stud.IP
- Social Sciences - Master's Programme
  - Wahlpflichtmodule
    - sow964 - Advanced Social Research Methods
      - Seminar
- Business Administration, Economics and Law - Structured Doctoral Programme
  - Transnational Economics and Law in the Information Society
    - telis1 - Verbreiterung und Vertiefung von Fachwissen
      - Seminar
- Sustainability Economics and Management - Structured Doctoral Programme
  - Umweltökonomie und Nachhaltigkeitsmanagement
    - una1 - Verbreiterung und Vertiefung von Fachwissen
      - Seminar

Comment/Description

Words shape politics: they convey policy goals, signal priorities, and frame debates in the media. In this course, we explore how social scientists can turn texts into data to better understand political communication. You will learn how to automatically analyze political texts using the statistical software R—starting with straightforward methods such as dictionaries and gradually moving toward more advanced techniques like large language models. Along the way, we will discuss not only how to apply these tools, but also what the results mean from a political and qualitative perspective.

The course is designed for master’s students with no prior experience in R or text analysis. All you need is curiosity and a willingness to experiment with coding; the technical skills will be built step by step. By the end, you will be equipped with practical tools to study how language shapes politics and with a critical understanding of what these methods can (and cannot) reveal.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".

Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:

Admission locked.

Seminar: 1.07.473 Introduction to quantitative text analysis - Details

A06 3-313 (OLExS-Labor)

No room