Exploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddings

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Title: Exploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddings
Authors: Grayson, SiobhánMulvany, MariaWade, KarenMeaney, GerardineGreene, Derek
Permanent link: http://hdl.handle.net/10197/8692
Date: 20-Jun-2017
Online since: 2017-07-27T14:07:05Z
Abstract: Within the last decade, substantial advances have been made in the field of computational linguistics, due in part to the evolution of word embedding algorithms inspired by neural network models. These algorithms attempt to derive a set of vectors which represent the vocabulary of a textual corpus in a new embedded space. This new representation can then be used to measure the underlying similarity between words. In this paper, we explore the role an author's gender may play in the selection of words that they choose to construct their narratives. Using a curated corpus of forty-eight 19th century novels, we generate, visualise, and investigate word embedding representations using a list of gender-encoded words. This allows us to explore the different ways in which male and female authors of this corpus use terms relating to contemporary understandings of gender and gender roles.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Keywords: Machine learningStatistics
Other versions: http://ldk2017.org/
Language: en
Status of Item: Peer reviewed
Conference Details: LDK 2017: Language, Data and Knowledge, Galway, Ireland, 19-20 June 2017
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:English, Drama & Film Research Collection
Computer Science Research Collection
UCD Humanities Institute Research Collection
Insight Research Collection

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