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Navigating Literary Text with Word Embeddings and Semantic Lexicons
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
Web versions
Language
English
Status of Item
Not peer reviewed
Conference Details
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
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