FabulaNet Literary Quality Dataset

  Creators

Bizzoni, Yuri; Feldkamp, Pascale; Nielbo, Kristoffer; Lassen, Ida-Marie; Thomsen, Mads

  Item identifier

http://hdl.handle.net/20.500.12115/56

 Project URL

https://centre-for-humanities-computing.github.io/fabula-net/

 Demo URL

https://github.com/centre-for-humanities-computing/chicago_corpus

 Referenced by

https://aclanthology.org/2024.lrec-main.71/

 Date issued

2024-05-01

 Type

corpus

 Size

9089 items

 Language(s)

English

 Description

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

 Publisher

University Århus

 Acknowledgement

N/A

Project code: N/A

Project name: N/A

 Subject(s)

literature sentiment analysis literary quality computational literary studies computational linguistics

 Collection(s)

CLARIN-DK-UCPH Repository

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