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  1. Quantitative formalism: an experiment
    Autor*in: Allison, Sarah ; Heuser, Ryan ; Jockers, Matthew ; Moretti, Franco ; Witmore, Michael
    Erschienen: 15.01.2011

    This paper is the report of a study conducted by five people – four at Stanford, and one at the University of Wisconsin – which tried to establish whether computer-generated algorithms could "recognize" literary genres. You take 'David Copperfield',... mehr

     

    This paper is the report of a study conducted by five people – four at Stanford, and one at the University of Wisconsin – which tried to establish whether computer-generated algorithms could "recognize" literary genres. You take 'David Copperfield', run it through a program without any human input – "unsupervised", as the expression goes – and ... can the program figure out whether it's a gothic novel or a 'Bildungsroman'? The answer is, fundamentally, Yes: but a Yes with so many complications that it is necessary to look at the entire process of our study. These are new methods we are using, and with new methods the process is almost as important as the results.

     
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    Hinweise zum Inhalt: kostenfrei
    Quelle: GiNDok
    Sprache: Englisch
    Medientyp: Arbeitspapier; workingPaper
    Format: Online
    DDC Klassifikation: Literatur und Rhetorik (800)
    Sammlung: Stanford Literary Lab
    Schlagworte: Digital Humanities; Literaturwissenschaft; Gattungstheorie
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    publikationen.ub.uni-frankfurt.de/home/index/help

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    info:eu-repo/semantics/openAccess