The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement”
Digital Humanities (DH) offers contemporary literary criticism a unique and constantly expandable set of “big data” that can be investigated through statistical analysis. Indeed, computational methods can be viewed as a “toolkit,” a unique array of instruments that allow the generation of new analyt...
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| Format: | Article |
| Language: | English |
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Department of Foreign Languages and Literatures at the University of Verona
2018-12-01
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| Series: | Iperstoria |
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| Online Access: | https://iperstoria.it/article/view/395 |
| _version_ | 1818648658326847488 |
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| author | Massimo Salgaro |
| author_facet | Massimo Salgaro |
| author_sort | Massimo Salgaro |
| collection | DOAJ |
| description | Digital Humanities (DH) offers contemporary literary criticism a unique and constantly expandable set of “big data” that can be investigated through statistical analysis. Indeed, computational methods can be viewed as a “toolkit,” a unique array of instruments that allow the generation of new analytical data on literary texts. Through quantitative analysis of digitized texts, DH produces data that literary critics can use in qualitative analysis. Three case studies of computational analysis of “Late Style” (J. W. Goethe, Robert Musil, Franz Kafka), of “attribution of authorship” (Robert Musil) and of “literary movement” (German Romanticism and Heinrich von Kleist) are presented, demonstrating that the DH approach allows concepts in literary theory to be “operationalized,” i.e., translated from a theoretical to an empirical level. The methods exemplified in the three case studies provide a potential model for bridging the gap between literary theory and stylometric analysis. |
| first_indexed | 2024-12-17T01:21:55Z |
| format | Article |
| id | doaj.art-4fe065f8bf524b04a367f88552f8615d |
| institution | Directory Open Access Journal |
| issn | 2281-4582 |
| language | English |
| last_indexed | 2024-12-17T01:21:55Z |
| publishDate | 2018-12-01 |
| publisher | Department of Foreign Languages and Literatures at the University of Verona |
| record_format | Article |
| series | Iperstoria |
| spelling | doaj.art-4fe065f8bf524b04a367f88552f8615d2022-12-21T22:08:47ZengDepartment of Foreign Languages and Literatures at the University of VeronaIperstoria2281-45822018-12-0101210.13136/2281-4582/2018.i12.395314The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement”Massimo Salgaro0Università degli studi di VeronaDigital Humanities (DH) offers contemporary literary criticism a unique and constantly expandable set of “big data” that can be investigated through statistical analysis. Indeed, computational methods can be viewed as a “toolkit,” a unique array of instruments that allow the generation of new analytical data on literary texts. Through quantitative analysis of digitized texts, DH produces data that literary critics can use in qualitative analysis. Three case studies of computational analysis of “Late Style” (J. W. Goethe, Robert Musil, Franz Kafka), of “attribution of authorship” (Robert Musil) and of “literary movement” (German Romanticism and Heinrich von Kleist) are presented, demonstrating that the DH approach allows concepts in literary theory to be “operationalized,” i.e., translated from a theoretical to an empirical level. The methods exemplified in the three case studies provide a potential model for bridging the gap between literary theory and stylometric analysis.https://iperstoria.it/article/view/395big datadigital humanitiesliteraturestylometric analysis |
| spellingShingle | Massimo Salgaro The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement” Iperstoria big data digital humanities literature stylometric analysis |
| title | The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement” |
| title_full | The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement” |
| title_fullStr | The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement” |
| title_full_unstemmed | The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement” |
| title_short | The Digital Humanities as a Toolkit for Literary Theory: Three Case Studies of the Operationalization of the Concepts of “Late Style,” “Authorship Attribution,” and “Literary Movement” |
| title_sort | digital humanities as a toolkit for literary theory three case studies of the operationalization of the concepts of late style authorship attribution and literary movement |
| topic | big data digital humanities literature stylometric analysis |
| url | https://iperstoria.it/article/view/395 |
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