2026-04-07T15:00:12Zhttp://repository.clarin.dk/repository/oai/request

oai:repository.clarin.dk:20.500.12115/562024-09-02T08:53:05Zhdl_20.500.12115_1hdl_20.500.12115_3

FabulaNet Literary Quality Dataset Bizzoni, Yuri Feldkamp, Pascale Nielbo, Kristoffer Lassen, Ida-Marie Thomsen, Mads literature sentiment analysis literary quality computational literary studies computational linguistics A dataset designed to study literary fiction's quality as a multidimensional construct with several different proxies for reception and assessment (e.g. Goodreads' scores, libraries' holdings, selection for long-listed awards, presence in canonical anthologies etc.). The dataset contains metadata and tens of linguistic features for more than 9000 contemporary novels. Ideal for study of literary quality and reception. An extensive description of the measures annotated in the corpus can be found at GitHub: https://github.com/centre-for-humanities-computing/chicago_corpus/blob/main/data/corpus_description.md 2024-05-01 corpus http://hdl.handle.net/20.500.12115/56 eng https://aclanthology.org/2024.lrec-main.71/ Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) http://creativecommons.org/licenses/by-nc-nd/4.0/ PUB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet text/plain; charset=utf-8 downloadable_files_count: 1 University Århus https://centre-for-humanities-computing.github.io/fabula-net/