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  1. The Emotions of London
    Autor*in: Heuser, Ryan; Moretti, Franco; Steiner, Erik
    Erschienen: 01.10.2016

    A few years ago, a group formed by Ben Allen, Cameron Blevins, Ryan Heuser, and Matt Jockers decided to use topic modeling to extract geographical information from nineteenth-century novels. Though the study was eventually abandoned, it had revealed... mehr

     

    A few years ago, a group formed by Ben Allen, Cameron Blevins, Ryan Heuser, and Matt Jockers decided to use topic modeling to extract geographical information from nineteenth-century novels. Though the study was eventually abandoned, it had revealed that London-related topics had become significantly more frequent in the course of the century, and when some of us were later asked to design a crowd-sourcing experiment, we decided to add a further dimension to those early findings, and see whether London place-names could become the cornerstone for an emotional geography of the city.

     
    Export in Literaturverwaltung
    Hinweise zum Inhalt: kostenfrei
    Quelle: CompaRe
    Sprache: Englisch
    Medientyp: Arbeitspapier; Arbeitspapier
    Format: Online
    DDC Klassifikation: Literatur und Rhetorik (800)
    Sammlung: Stanford Literary Lab
    Schlagworte: London; Digital Humanities; Romantheorie; Schauplatz
    Lizenz:

    publikationen.ub.uni-frankfurt.de/home/index/help

    ;

    info:eu-repo/semantics/openAccess
  2. 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.

     
    Export in Literaturverwaltung
    Hinweise zum Inhalt: kostenfrei
    Quelle: CompaRe
    Sprache: Englisch
    Medientyp: Arbeitspapier; Arbeitspapier
    Format: Online
    DDC Klassifikation: Literatur und Rhetorik (800)
    Sammlung: Stanford Literary Lab
    Schlagworte: Digital Humanities; Literaturwissenschaft; Gattungstheorie
    Lizenz:

    publikationen.ub.uni-frankfurt.de/home/index/help

    ;

    info:eu-repo/semantics/openAccess