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Quantitative formalism: an experiment

  • 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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Metadaten
Author:Sarah Allison, Ryan Heuser, Matthew Jockers, Franco Moretti, Michael Witmore
URN:urn:nbn:de:hebis:30:3-469497
URL:https://litlab.stanford.edu/LiteraryLabPamphlet1.pdf
ISSN:2164-1757
Parent Title (English):Stanford Literary Lab: Pamphlets ; 1
Series (Serial Number):Pamphlets of the Stanford Literary Lab (1)
Publisher:Stanford Literary Lab
Place of publication:Stanford
Document Type:Working Paper
Language:English
Year of Completion:2018
Date of first Publication:2011/01/15
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Creating Corporation:Stanford Literary Lab
Release Date:2018/07/13
Tag:Gattungspoetik
GND Keyword:Digital Humanities; Literaturwissenschaft; Gattungstheorie
Issue:1
Page Number:26
HeBIS-PPN:434686999
Dewey Decimal Classification:8 Literatur / 80 Literatur, Rhetorik, Literaturwissenschaft / 800 Literatur und Rhetorik
Sammlungen:CompaRe | Allgemeine und Vergleichende Literaturwissenschaft
CompaRe | Allgemeine und Vergleichende Literaturwissenschaft / Stanford Literary Lab
BDSL-Klassifikation:04.00.00 Allgemeine Literaturgeschichte / BDSL-Klassifikation: 04.00.00 Allgemeine Literaturgeschichte > 04.03.00 Vergleichende Literaturgeschichte
Licence (German):License LogoDeutsches Urheberrecht