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Navigating Literary Text with Word Embeddings and Semantic Lexicons

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Download COMHUM2018_NavigatingLiteraryText.pdf145.03 KB
Author(s)
Leavy, Susan 
Wade, Karen 
Meaney, Gerardine 
Greene, Derek 
Uri
http://hdl.handle.net/10197/10461
Date Issued
05 June 2018
Date Available
15T09:47:42Z May 2019
Abstract
Word 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 analysis
Sponsorship
Irish Research Council
Type of Material
Conference Publication
Keywords
  • Word embeddings

  • Vocabularies

  • Representing text

  • Setting parameters

  • Digital humanities

  • Eighteenth century

  • Nineteenth century

  • British Library

  • Critical analysis

Web versions
http://wp.unil.ch/llist/event/comhum2018
Language
English
Status of Item
Not peer reviewed
Description
Workshop on Computational Methods in the Humanities 2018 (COMHUM 2018), Luasanne, Switzerland, 4-5 June 2018
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
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