The Novel in the Spanish Silver Age
A Digital Analysis of Genre Using Machine Learning
dc.contributor.author | Calvo Tello, José | |
dc.date.accessioned | 2021-11-02T09:25:05Z | |
dc.date.available | 2021-11-02T09:25:05Z | |
dc.date.issued | 2021 | |
dc.identifier | ONIX_20211102_9783839459256_21 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/51239 | |
dc.description.abstract | What distinguishes an adventure novel from a historical novel? Can the same text belong to several genres? More to one than to another? Have some existing genres been overlooked? To answer these and similar questions, José Calvo Tello combines methods from Linguistics (lexicography), Literary Studies (genre theory), and Computer Science (machine learning, natural language processing). Located in the interdisciplinary field of Digital Humanities, this study analyzes a newly developed corpus of 358 Spanish novels of the silver age (1880-1939), which includes authors like Baroja, Pardo Bazán, or Valle-Inclán. Calvo Tello's key result is a graph-based model of literary genre that reconciles recent theoretical approaches. | |
dc.language | English | |
dc.relation.ispartofseries | Digital Humanities Research | |
dc.subject.classification | thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSB Literary studies: general | en_US |
dc.subject.classification | thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general | en_US |
dc.subject.classification | thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSA Literary theory | en_US |
dc.subject.other | Literature | |
dc.subject.other | Science | |
dc.subject.other | Spanish Literature | |
dc.subject.other | Digital Humanities | |
dc.subject.other | Theory of Literature | |
dc.subject.other | Romance Studies | |
dc.subject.other | Bielefeld University Press | |
dc.title | The Novel in the Spanish Silver Age | |
dc.title.alternative | A Digital Analysis of Genre Using Machine Learning | |
dc.type | book | |
oapen.identifier.doi | 10.1515/9783839459256 | |
oapen.relation.isPublishedBy | c03bf030-a9f4-472d-8c22-f28a8788e05e | |
oapen.relation.isFundedBy | 5cb0e793-9d8a-4b83-9ee6-25b062467484 | |
oapen.relation.isbn | 9783839459256 | |
oapen.relation.isbn | 9783837659252 | |
oapen.relation.isbn | 9783743559257 | |
oapen.imprint | Bielefeld University Press | |
oapen.series.number | 4 | |
oapen.pages | 470 | |
oapen.grant.number | [grantnumber unknown] |