Classifying literary genres: a methodological synergy of computational modelling and lexical semantics
Classifying literary genres has always been methodologically confined to philological methods and what is commonly known as Vector Space Clustering (VSC). The problem has been exasperated with the widening gap between computational theory and traditional analysis of literary texts. Towards finding a...
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| Udgivet i: | Texto Livre: Linguagem e Tecnologia |
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| Hovedforfatter: | |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Universidade Federal de Minas Gerais
2020
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| Fag: | |
| Online adgang: | https://www.redalyc.org/articulo.oa?id=577164137006 https://www.redalyc.org/journal/5771/577164137006/ https://www.redalyc.org/journal/5771/577164137006/html/ https://www.redalyc.org/journal/5771/577164137006/577164137006.epub https://www.redalyc.org/journal/5771/577164137006/movil https://doi.org/10.35699/1983-3652.2020.24396 |
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