Universität Wien

136050 KU DH Basics - Methods of Text Analysis (2025S)

5.00 ECTS (2.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 05.03. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 19.03. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 26.03. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 02.04. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 09.04. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 30.04. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 07.05. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 14.05. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 21.05. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 28.05. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 04.06. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 11.06. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 18.06. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00
  • Wednesday 25.06. 11:30 - 13:00 Seminarraum 5, Kolingasse 14-16, EG00

Information

Aims, contents and method of the course

The course introduces basic tools and methods of digital text analysis. This includes, for example, corpus linguistic evaluations with AntConc and Voyant Tools, the stylometric toolbox 'stylo' and network visualization programs like Gephi. In the second part of the course, we will deal with the programming language Python and try out basic packages for language processing. Also, references to low-threshold collections of tutorials and resources will be provided. You are also welcome to make further suggestions for tools and methods to be covered.

The respective tools should be tried out as hands-on as possible and with your own or provided material.

The skills acquired are consolidated by completing homework exercises.

What will be learnt?
- Knowledge of important basic resources and tools of digital humanities
- Application of the tools and critical analysis of the results
- Basic skills for independent research of resources.

Please bring a laptop with internet access for the practical exercises. No prior programming knowledge is required.

Assessment and permitted materials

The overall grade results from
- active participation in the exercise and the hands-on-sessions (20%)
- Homework during the semester (80%)

Minimum requirements and assessment criteria

The minimum requirement is the positive completion of all of the specified partial performances.
Attendance is compulsory in the course; three excused units are permitted.

Examination topics

Reading list

Literature will be provided during the course.

A collection of basic DH literature can be found in my Zotero bibliography https://www.zotero.org/groups/5255248/tuig

Association in the course directory

Pflichtmodul DH2

Last modified: Mo 03.03.2025 00:02