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The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies

Journal article
Authors Nina Tahmasebi
Simon Hengchen
Published in Samlaren : tidskrift för svensk litteraturvetenskaplig forskning
Volume 140
Pages 198–227
ISSN 0348-6133
Publication year 2019
Published at Department of Literature, History of Ideas, and Religion
Department of Swedish
Pages 198–227
Language en
Links uu.diva-portal.org/smash/get/diva2:...
Keywords text mining, data-intensive research methodology, computational literary analysis
Subject categories Language Technology (Computational Linguistics), General Literature Studies

Abstract

This paper is an overview of the opportunities and challenges of using large-scale text mining to answer research questions that stem from the humanities in general and literature specifically. In this paper, we will discuss a data-intensive research methodology and how different views of digital text affect answers to research questions. We will discuss results derived from text mining, how these results can be evaluated, and their relation to hypotheses and research questions. Finally, we will discuss some pitfalls of computational literary analysis and give some pointers as to how these can be avoided.

Page Manager: Webmaster|Last update: 9/11/2012
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