Need a Good Book about Privacy? Evaluating Dictionary-Based Corpus Query for Detecting the Topic of Privacy in Literary Texts
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Journal ArticleDate:
2024Access:
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Ketzan, Erik and Edmond, Jennifer and Vogel, Carl, Need a Good Book about Privacy? Evaluating Dictionary-Based Corpus Query for Detecting the Topic of Privacy in Literary Texts, Journal of Computational Literary Studies, 2, 1, 2024, 1-19Download Item:
Abstract:
This paper evaluates the usefulness of querying Vasalou et al.’s Privacy
Dictionary (2011), a dictionary of 600+ words and phrases, in 131 canonical
English-language novels from the long 19th century. We evaluate the word
frequencies compared with a classification of the novels based on scholarly
attention to the topic of privacy in each particular text. We report evidence of
low- to low/medium strength of correlation between 3 of the 8 categories of
the Privacy Dictionary and this classification. As a final step, by identifying the
novels in our corpus which score highest in relative word frequency in these 3
categories, we suggest novels which have not yet received scholarly study on
the topic of privacy but which may be promising for such studies. The highest
scoring novel by our method, Maria Edgeworth’s Castle Rackrent (1800), seems
indeed to be highly concerned with the topic of privacy, which is discussed in
its author’s preface and opening pages.
Author's Homepage:
http://people.tcd.ie/vogelhttp://people.tcd.ie/edmondj
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Author: Vogel, Carl; Edmond, Jennifer
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Journal of Computational Literary Studies2
1
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Full text availableSubject (TCD):
Digital Humanities , ARTIFICIAL INTELLIGENCE , Computational Linguistics , Digital Humanities , PRIVACYDOI:
https://doi.org/10.48694/jcls.3602Metadata
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