• Null models in authorship analysis - an alternative approach to established methods in stylometry

    Author(s):
    Steffen Pielström (see profile)
    Date:
    2020
    Group(s):
    DH2020
    Subject(s):
    Authorship, Language and languages--Style--Statistical methods, Literary style--Statistical methods
    Item Type:
    Presentation
    Meeting Title:
    DH2020
    Meeting Org.:
    ADHO
    Meeting Loc.:
    https://hcommons.org/
    Meeting Date:
    July 20.-25. 2020
    Tag(s):
    delta, hypothesis testing, null models, Authorship attribution, Computational stylistics, Stylometry
    Permanent URL:
    http://dx.doi.org/10.17613/9dg6-0j47
    Abstract:
    In stylometry, authorship questions are currently approached in terms of two separate tasks: authorship attribution and authorship verification. Recent research in stylometry often interpreted both as classification tasks and concentrated on further improving the accuracy of these two procedures. This study proposes an alternative approach to authorship questions, treating them as hypothesis tests based on an empirical null model. The central question this approach evolves around: what does a text distance value of X actually mean for my authorship question? This essay outlines how a null model can be derived from empirical observations to answer this question. The approach allows to choose a rejection criterion for the null hypothesis that two texts have been written by different people, producing reasonable estimations for the alpha and beta error.
    Notes:
    The file is a html presentation created in Sozi (sozi.baierouge.fr) that can be displayed in any internet browser.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    3 years ago
    License:
    Attribution

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