Navigating Literary Text with Word Embeddings and Semantic Lexicons

DC FieldValueLanguage
dc.contributor.authorLeavy, Susan-
dc.contributor.authorWade, Karen-
dc.contributor.authorMeaney, Gerardine-
dc.contributor.authorGreene, Derek-
dc.date.accessioned2019-05-15T09:47:42Z-
dc.date.available2019-05-15T09:47:42Z-
dc.date.issued2018-06-05-
dc.identifier.urihttp://hdl.handle.net/10197/10461-
dc.descriptionWorkshop on Computational Methods in the Humanities 2018 (COMHUM 2018), Luasanne, Switzerland, 4-5 June 2018en_US
dc.description.abstractWord embeddings represent a powerful tool for mining the vocabularies of literary and historical text. However, there is little research demonstrating appropriate strategies for representing text and setting parameters, when constructing embedding models within a digital humanities context. In this paper we examine the effects of these choices using a case study involving 18th and 19th century texts from the British Library. The study demonstrates the importance of examining implicit assumptions around default strategies, when using embeddings with literary texts and highlights the potential of quantitative analysis to inform critical analysisen_US
dc.description.sponsorshipIrish Research Councilen_US
dc.language.isoenen_US
dc.subjectWord embeddingsen_US
dc.subjectVocabulariesen_US
dc.subjectRepresenting texten_US
dc.subjectSetting parametersen_US
dc.subjectDigital humanitiesen_US
dc.subjectEighteenth centuryen_US
dc.subjectNineteenth centuryen_US
dc.subjectBritish Libraryen_US
dc.subjectCritical analysisen_US
dc.titleNavigating Literary Text with Word Embeddings and Semantic Lexiconsen_US
dc.typeConference Publicationen_US
dc.internal.authorcontactothersusan.leavy@ucd.ieen_US
dc.internal.webversionshttp://wp.unil.ch/llist/event/comhum2018-
dc.statusNot peer revieweden_US
dc.neeo.contributorLeavy|Susan|aut|-
dc.neeo.contributorWade|Karen|aut|-
dc.neeo.contributorMeaney|Gerardine|aut|-
dc.neeo.contributorGreene|Derek|aut|-
dc.date.updated2018-10-22T11:54:12Z-
dc.identifier.grantidREPRO/2016/69-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Computer Science Research Collection
UCD Humanities Institute Research Collection
Insight Research Collection
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