Dates: April 9, 16, 23, 30, May 7, 14, 2018
Time: 15.00-18.00 hrs.
Venue: University of Amsterdam, P.C. Hoofthuis – 4.22, Spuistraat 134, Amsterdam
Open to: PhD Candidates and RMa Students, OSL members will have first access
Organiser: prof. Karina van Dalen-Oskam (UvA)
Scholars working in computational literary studies make use of computer software that helps them to analyze digital textual data. Software can support the exploration of a much larger amount of data in systematic ways than was possible before. In this course, students will get introduced to the most important current approaches in computational literary studies, ranging from the analysis of style and methods for the verification and attribution of authorship to various forms of ‘distant reading’ and discourse analysis.
The first part of the course explores the new horizons and possibilities as well as the limitations of computational approaches in literary studies. Several computational tools will be demonstrated such as concordance software that can be used for discourse analytical approaches and specialized R-scripts for authorship attribution and stylistic analysis. The questions to be addressed in the first four sessions of the seminar include: How can different authors be distinguished from each other using computational tools? In which ways do their writing styles exactly differ? What are the options for computer-assisted discourse analysis? What kinds of reasoning and logic play a role when computational tools are applied and what are their epistemological implications? How can be evaluate the results of the new methods and techniques?
The second part of the course is optional and more practical. In two workshop-like meetings students will conduct small research projects of their own. In this way, they will learn to use the computational tools themselves and gain practical experience with their possibilities and limitations. The research projects can be devoted to the cases presented in the first part of the course but also be proposed by the students themselves.
- Students learn to employ empirical and computational methods in literary studies, including the selection of tools and the reflection on their possibilities and limitations.
- Students get an overview of international discussions in the fields of computational literary studies and digital humanities and learn to relate their research to these debates.
- Students learn to reflect on the relation of research questions and digital methods in literary studies.
- April 9: Introduction
- April 16: Authorship attribution, verification, and profiling
- April 23: Computational analysis of literary style
- April 30: From style to discourse analysis
- May 7 and 14: Workshop tools (bring your own laptop)
Students receive 3 EC for active participation (readings and small assignments) in the first four meetings and an additional 3 EC for participation in the workshops and the preparation of a final assignment (= paper of 3000 words).
For more information please contact dr Stephan Besser (email@example.com)