Toward a feminist modernist digital humanities

Ross, Shawna

doi:10.1080/24692921.2018.1505821

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Cited by 6 publications

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Data Worlds: Patterns, Structures, Libraries

Bode¹

2021

The Cambridge History of World Literature

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We consider the problem of automatically inferring latent character types in a collection of 15,099 English novels published between 1700 and 1899. Unlike prior work in which character types are assumed responsible for probabilistically generating all text associated with a character, we introduce a model that employs multiple effects to account for the influence of extra-linguistic information (such as author). In an empirical evaluation, we find that this method leads to improved agreement with the preregistered judgments of a literary scholar, complementing the results of alternative models.

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