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University Århus, 2024, FabulaNet Literary Quality Dataset, CLARIN-DK-UCPH Centre Repository, http://hdl.handle.net/20.500.12115/56.
dc.creatorBizzoni, Yuri
dc.creatorFeldkamp, Pascale
dc.creatorNielbo, Kristoffer
dc.creatorLassen, Ida-Marie
dc.creatorThomsen, Mads
dc.date.accessioned2024-09-02T08:53:01Z
dc.date.available2024-09-02T08:53:01Z
dc.date.issued2024-05-01
dc.descriptionA 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
dc.identifier.urihttp://hdl.handle.net/20.500.12115/56
dc.language.isoeng
dc.publisherUniversity Århus
dc.relation.isreferencedbyhttps://aclanthology.org/2024.lrec-main.71/
dc.rightsCreative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rights.labelPUB
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.urihttps://centre-for-humanities-computing.github.io/fabula-net/
dc.subjectliterature
dc.subjectsentiment analysis
dc.subjectliterary quality
dc.subjectcomputational literary studies
dc.subjectcomputational linguistics
dc.titleFabulaNet Literary Quality Dataset
dc.typecorpus
local.annotationInfo.annotationTypePOS and syntactic tags, sentiment and emotional arcs (8 emotions), semantic categories, readability, reader reaction, quality and reception
local.brandingCLARIN-DK
local.contact.personYuri Bizzoni yuri.bizzoni@gmail.com Århus University
local.demo.urihttps://github.com/centre-for-humanities-computing/chicago_corpus
local.files.count1
local.files.size14207142
local.has.filesyes
local.language.nameEnglish
local.size.info9089 items
local.sponsornationalFunds N/A N/A N/A
metashare.ResourceInfo#ContentInfo.mediaTypetext
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CHICAGO_MEASURES_FEB24.xlsx
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dataset of intrinsic and extrinsic quality metrics
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