the gutenberg english poetry corpus: exemplary quantitative narrative analyses

Clicks: 268
ID: 234203
2018
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Abstract
This paper describes a corpus of about 3,000 English literary texts with about 250 million words extracted from the Gutenberg project that span a range of genres from both fiction and non-fiction written by more than 130 authors (e.g., Darwin, Dickens, Shakespeare). Quantitative narrative analysis (QNA) is used to explore a cleaned subcorpus, the Gutenberg English Poetry Corpus (GEPC), which comprises over 100 poetic texts with around two million words from about 50 authors (e.g., Keats, Joyce, Wordsworth). Some exemplary QNA studies show author similarities based on latent semantic analysis, significant topics for each author or various text-analytic metrics for George Eliot’s poem “How Lisa Loved the King” and James Joyce’s “Chamber Music,” concerning, e.g., lexical diversity or sentiment analysis. The GEPC is particularly suited for research in Digital Humanities, Computational Stylistics, or Neurocognitive Poetics, e.g., as training and test corpus for stimulus development and control in empirical studies.
Reference Key
jacobs2018frontiersthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Arthur M. Jacobs;Arthur M. Jacobs;Arthur M. Jacobs
Journal stem cells international
Year 2018
DOI
10.3389/fdigh.2018.00005
URL
http://journal.frontiersin.org/article/10.3389/fdigh.2018.00005/full
Keywords
neurocognitive poetics computer science

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