Computational Stylistics in Poetry, Prose, and Drama
dc.contributor.editor | Bories, Anne-Sophie | |
dc.contributor.editor | Plecháč, Petr | |
dc.contributor.editor | Fabo, Pablo Ruiz | |
dc.date.accessioned | 2023-01-30T17:06:27Z | |
dc.date.available | 2023-01-30T17:06:27Z | |
dc.date.issued | 2022 | |
dc.identifier | ONIX_20230130_9783110781502_11 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/61021 | |
dc.description.abstract | The contributions in this edited volume approach poetry, narrative, and drama from the perspective of Computational Stylistics. They exemplify methods of computational textual analysis and explore the possibility of computational generation of literary texts. The volume presents a range of computational and Natural Language Processing applications to literary studies, such as motif detection, network analysis, machine learning, and deep learning. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::D Biography, Literature and Literary studies | en_US |
dc.subject.classification | thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism | 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.classification | thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSB Literary studies: general | en_US |
dc.subject.other | Digital Humanities | |
dc.subject.other | stylistics poetry | |
dc.subject.other | distant reading | |
dc.title | Computational Stylistics in Poetry, Prose, and Drama | |
dc.type | book | |
oapen.identifier.doi | 10.1515/9783110781502 | |
oapen.relation.isPublishedBy | 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 | |
oapen.relation.isFundedBy | 07f61e34-5b96-49f0-9860-c87dd8228f26 | |
oapen.relation.isbn | 9783110781502 | |
oapen.relation.isbn | 9783110781410 | |
oapen.relation.isbn | 9783110781564 | |
oapen.collection | Swiss National Science Foundation (SNF) | |
oapen.imprint | De Gruyter | |
oapen.pages | 233 | |
oapen.place.publication | Berlin/Boston | |
oapen.grant.number | [...] |