Photographer: Monique Kooijmans
Head of the Computational literary studies research group, Huygens Institute, Professor of Computational Literary Studies, University of Amsterdam.
Computational Literary Studies (CLS) focuses on developing and applying computational methods for the analysis of literary texts. Its aim is to get more insight into literary authorship, literary history, the influence of genre conventions on writing style, and much more. With a growing amount of relevant digital data, the range of possible research questions is rapidly expanding.
To illustrate this, the results of two case studies will be presented, the first one done in collaboration with Prof. Sebastian Groes (University of Wolverhampton, UK) and the second with Dr. Lamyk Bekius (University of Antwerp). The first case study involves a stylometric analysis of the works of Margaret Atwood and Naomi Alderman, to find out how and why these two authors seem to reveal a mutual influence in their writing style. The second case study makes use of keystroke-logged data of all writing sessions Flemish author Gie Bogaert needed to write his tenth novel. The aim is twofold: do the data provide information about different writing phases? And did Bogaert give each of his narrators a recognizable voice?