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”...

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Bibliographic Details
Main Author: Kaylin Land
Format: Article
Language:English
Published: Open Library of Humanities 2020-10-01
Series:Digital Studies
Subjects:
Online Access:https://www.digitalstudies.org//articles/362

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