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This resource from the CLS INFRA project offers an introduction to several research areas and issues that are prominent withinComputational Literary Studies (CLS), including authorship attribution, literary history, literary genre, gender in literature, and canonicity/prestige, as well as to several key methodological concerns that are of importance when performing research in CLS.

Joanna Byszuk is a research associate and a member of Computational Stylistics Group at the Institute of Polish Language, Polish Academy of Sciences, Kraków. She has worked on 'Foundations of Computational Stylistics' (2018-2022) and 'CLS Infra' (2022-2025) projects, focusing on cross-lingual computational stylistics and advancing stylometric methodology and its understanding, especially locating method limitations and developing evaluation procedures. She was also engaged in the COST Action Distant Reading, where she was leading Working Group 2 'Methods and Tools' (2020-2022), and in 'Deep Learning in the Computational Stylistics' collaboration with the University of Antwerp. She is interested in discourse analysis and sociolinguistics, especially in connection to 'big data' and multimodal perspective, establishing in her dissertation a methodology of multimodal stylometry for the study of audiovisual works.

Dr. Artjoms Šeļa is a postdoctoral researcher at the Methodology department of the Institute of Polish Language (PAN, Kraków) and is a research fellow at the University of Tartu (Estonia).  He holds a PhD in Russian Literature and uses computational methods to understand historical change in literature and culture.  His main research interests include stylometry, verse studies and cultural evolution.  Sometimes he forays into digital preservation and history of quantitative methods in humanities.

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The CLS INFRA Survey of Methods in Computational Literary Studies

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The CLS INFRA Survey of Methods in Computational Literary Studies