Universität Wien

136050 KU DH Basics - Methods of Text Analysis (2024W)

5.00 ECTS (2.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft
Continuous assessment of course work
Moodle
Mo 16.12. 15:00-16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5

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

  • Monday 07.10. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 14.10. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 21.10. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 28.10. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 04.11. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 11.11. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 18.11. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 25.11. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 02.12. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 09.12. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 13.01. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 20.01. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5
  • Monday 27.01. 15:00 - 16:30 Seminarraum 6 Hauptgebäude, Tiefparterre Stiege 9 Hof 5

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 analyses with AntConc and Voyant Tools, the stylometric toolbox ‘stylo’, network visualisation programs such as Gephi and Palladio, map display tools such as the Geo-Browser, etc. We will also look at and try out basic Python and R packages. We will also look at some low-threshold resources for tutorials and relevant data. You are also welcome to make further suggestions for tools 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 07.10.2024 10:26