Cross-Work Theme Identification in Long Novels via Nonnegative Tensor Factorization
Identifying the major themes and recurring motifs of an author’s long novels is a basic task in literary studies. To support this task in a scalable way while retaining within-novel narrative variation, we model an author corpus as a third-order nonnegative tensor indexed by <i>work</i> × <i>narrati...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
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MDPI AG
2026-03-01
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| Reeks: | Mathematics |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2227-7390/14/7/1106 |
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