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Studying Literary History with Latent Feature Models

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Date
2013
Author
Riddell, Allen
Advisor
Dunson, David B
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Abstract

Novelistic genres--such as gothic novels, epistolary novels, and Bildungsromane--were an abiding feature of literary production in the nineteenth century. Their appearance, disappearance, and transmission across national and linguistic boundaries continues to be an object of interest for scholars in literary history and sociology of culture. This thesis considers two non-parametric latent feature models of a corpus of British literary fiction and compares the models' representations with the judgments of literary historians. I find that the models agree with expert classifications of novelistic genre better than chance. This thesis contributes to efforts to validate latent feature models against human judgments and offers further confirmation that probabilistic models of text collections can support historical scholarship.

Type
Master's thesis
Department
Statistical Science
Subject
Statistics
Literature
Permalink
https://hdl.handle.net/10161/7312
Citation
Riddell, Allen (2013). Studying Literary History with Latent Feature Models. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/7312.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.

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