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Root number
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515872 |
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Semester
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FS2026 |
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Type of course
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Seminar |
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Allocation to subject
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Economics |
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Type of exam
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not defined |
| Title |
Seminar: Quantitative Text Analysis |
| Description |
*** IMPORTANT ***
For the most updated administrative course information (date changes, room changes etc) please always refer to the KSL page only and not to the Info page in ILIAS – the ILIAS infopage will not be updated!
Automated text analysis is increasingly becoming a popular tool for describing economic or economic related phenomena, as an addition and/or an alternative to numerical data (or lack thereof). This course introduces students to the quantitative analysis of text data. As such it will discuss the underlying theoretical assumptions, provide substantive applications of the methods, and their respective implementations in the R statistical programming language. Each session combines lectures with practical, hands-on exercises to apply the methods on actual texts, dealing with practical issues in each step of the research process.
Maximum number of participants: 6
Please register in KSL (registration open from 23.01.-28.01.2026)
schedule: 02.-06.02.2026, 09.15-12.00 and 13.15-17.00 hrs
Room A222, UniS (02.-05.02.2026)
Room D004, UniS (06.02.2026)
Literature:
Grimmer, J., Roberts, M. E., & Stewart, B. M. (2022). Text as data: A new framework for machine learning and the social sciences. Princeton University Press.
Bernauer, J., & Wohlmann, A. (2025). Quantitative text analysis using R: scraping, preparing, visualising and modelling data. SAGE Publications Limited.
W.VanAtteveldt, D. Trilling, and C. A. Calderón (2022). Computational Analysis of Communication: A Practical Introduction to the Analysis of Texts, Networks, and Images with Code Examples in Python and R. Hoboken: Wiley-Blackwell. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Eric Albert Strobl, Institute of Economics, Microeconomics ✉
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ECTS
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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Monday 2/2/2026 09:15-17:00
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Tuesday 3/2/2026 09:15-17:00
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Wednesday 4/2/2026 09:15-17:00
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Thursday 5/2/2026 09:15-17:00
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Friday 6/2/2026 09:15-17:00
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Sunday 29/3/2026 00:05-23:55
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Rooms
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| External rooms |
A222, UniS
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D004, UniS
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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