Universität Wien
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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
We 05.03. 11:30-13:00 Seminarraum 5, Kolingasse 14-16, EG00

Details

max. 25 participants
Language: German

Lecturers

    Classes (iCal) - next class is marked with N

    • 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 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

    Literatur wird im Verlauf des Kurses bereitgestellt.

    Eine Sammlung von grundlegender DH-Literatur findet sich in meiner Zotero-Bibliograhpie https://www.zotero.org/groups/5255248/tuig

    Association in the course directory

    Pflichtmodul DH2

    Last modified: Fr 10.01.2025 00:01