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Joanna Byszuk

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.

Resources

  • Digging for Gold - Knowledge Extraction from Text

    EN
    This three-day international training school in Knowledge Extraction from Text from the CLS Infra project offered a crash course in how to "Dig for Gold" in a corpus of texts. From Stylometry to Natural Language Processing, learners will be able to follow along using 'plug and play' tools, while also getting a brief introduction to Python and R.
    Authors
    • Guillermo Marco Remon
    • Alvaro Pérez
    • Artjoms Šeļa
  • The CLS INFRA Survey of Methods in Computational Literary Studies

    EN
    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.
    Authors
    • Christof Schöch
    • Julia Dudar
    • Evegniia Fileva