Predicting Author Gender Using Machine Learning Algorithms: Looking Beyond the Binary
This paper explores the relationship between digital humanities studies that utilize computer algorithms to identify author gender and feminist and queer literary theory. I argue that utilizing computer algorithms to sort literature into the categories “authored by a male” or “authored by a female”...
Main Author: | Kaylin Land |
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Format: | Article |
Language: | English |
Published: |
Open Library of Humanities
2020-10-01
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Series: | Digital Studies |
Subjects: | |
Online Access: | https://www.digitalstudies.org//articles/362 |
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