Shin, Heejoung (2022)
Analyzing the Positive Sentiment Towards the Term “Queer’’ in Virginia Woolf through a Computational Approach and Close Reading.
In: Journal of Computational Literary Studies, 1 (1)
doi: 10.48694/jcls.106
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
This article validates the thesis that Virginia Woolf’s usage of the term “queer’’ is positive, and that the author is more progressive with her idea of things conceived as “queer’’ in the era characterized as literary Modernism and in English fiction as a whole from 1850s to 1990s. Using Word2Vec, a word embedding model, I locate the top 100 words semantically closest to “queer’’ in Woolf’s works and in the works of other modernist authors, James Joyce, F. Scott Fitzgerald, D. H. Lawrence, Gertrude Stein, and Katherine Mansfield. I then measure the net positivity of each author’s list and compare Woolf’s with the individual authors’, and then with words closest to “queer’’ in English fiction from 1850 to 2000. In demonstrating the usefulness of applying word embedding models in literary criticism, a field that has traditionally primarily relied on interpretation, this article aims to serve as a case study of how a computational approach can benefit close reading.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Shin, Heejoung |
| Art des Eintrags: | Bibliographie |
| Titel: | Analyzing the Positive Sentiment Towards the Term “Queer’’ in Virginia Woolf through a Computational Approach and Close Reading |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Ort: | Darmstadt |
| Verlag: | Universitäts- und Landesbibliothek Darmstadt |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Journal of Computational Literary Studies |
| Jahrgang/Volume einer Zeitschrift: | 1 |
| (Heft-)Nummer: | 1 |
| Kollation: | 26 Seiten |
| DOI: | 10.48694/jcls.106 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | This article validates the thesis that Virginia Woolf’s usage of the term “queer’’ is positive, and that the author is more progressive with her idea of things conceived as “queer’’ in the era characterized as literary Modernism and in English fiction as a whole from 1850s to 1990s. Using Word2Vec, a word embedding model, I locate the top 100 words semantically closest to “queer’’ in Woolf’s works and in the works of other modernist authors, James Joyce, F. Scott Fitzgerald, D. H. Lawrence, Gertrude Stein, and Katherine Mansfield. I then measure the net positivity of each author’s list and compare Woolf’s with the individual authors’, and then with words closest to “queer’’ in English fiction from 1850 to 2000. In demonstrating the usefulness of applying word embedding models in literary criticism, a field that has traditionally primarily relied on interpretation, this article aims to serve as a case study of how a computational approach can benefit close reading. |
| Freie Schlagworte: | Virginia Woolf, queer, modernism, sentiment analysis, word embedding model, Word2Vec |
| Zusätzliche Informationen: | Urspr. Konferenzveröffentlichung/Originally conference publication: 1st Annual Conference of Computational Literary Studies, 01.-02.06.2022, Darmstadt, Germany |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 800 Literatur > 800 Literatur, Rhetorik, Literaturwissenschaft |
| Fachbereich(e)/-gebiet(e): | 02 Fachbereich Gesellschafts- und Geschichtswissenschaften > Institut für Sprach- und Literaturwissenschaft > Digital Philology - Neuere deutsche Literaturwissenschaft 02 Fachbereich Gesellschafts- und Geschichtswissenschaften 02 Fachbereich Gesellschafts- und Geschichtswissenschaften > Institut für Sprach- und Literaturwissenschaft |
| Hinterlegungsdatum: | 02 Aug 2024 12:49 |
| Letzte Änderung: | 02 Aug 2024 12:49 |
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Verfügbare Versionen dieses Eintrags
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Analyzing the Positive Sentiment Towards the Term “Queer’’ in Virginia Woolf through a Computational Approach and Close Reading. (deposited 21 Feb 2023 10:36)
- Analyzing the Positive Sentiment Towards the Term “Queer’’ in Virginia Woolf through a Computational Approach and Close Reading. (deposited 02 Aug 2024 12:49) [Gegenwärtig angezeigt]
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