Abstract
This report accompanies a collection of 210,305 volumes, predicted to be fiction, that researchers are encouraged to borrow for their own work. We divide the collection into seven subsets with different emphases (for instance, one where books written by men and women are represented equally, and one composed of only the most prominent and widely-held books). Comparing the pictures produced by these different subsets allows us to assess the resilience or fragility of recent quantitative arguments about literary history. Readers can also simply browse the report as a description of English-language fiction in HathiTrust Digital Library.
How to Cite:
Underwood, T., Kimutis, P. & Witte, J., (2020) “NovelTM Datasets for English-Language Fiction, 1700-2009”, Journal of Cultural Analytics 5(2). https://doi.org/10.22148/001c.13147 (external link, opens in new tab).