Replication data and results for the paper "Keyness in song lyrics. Challenges of highly clumpy data"

Frommherz, Yannick; Langenhorst, Jan; Meier-Vieracker, Simon

Replication data and results for the paper "Keyness in song lyrics. Challenges of highly clumpy data"

Contributing person datacite.contributor.ProjectLeader	Meier-Vieracker, Simon (orcid: 0000-0002-0141-9327)
Contributing person datacite.contributor.RightsHolder	TU Dresden
Countries to which the data refer datacite.geolocation.iso3166	GERMANY
Description of the data datacite.resourceType	Corpus (Songkorpus) Results of keyword analysis Code to obtain results
Type of the data datacite.resourceTypeGeneral	Text
Type of the data datacite.resourceTypeGeneral	Dataset
Type of the data datacite.resourceTypeGeneral	Software
Total size of the dataset datacite.size	178370889
Author dc.contributor.author	Frommherz, Yannick
Author dc.contributor.author	Langenhorst, Jan
Author dc.contributor.author	Meier-Vieracker, Simon
Upload date dc.date.accessioned	2023-05-08T09:56:16Z
Publication date dc.date.available	2023-05-08T09:56:16Z
Publication date dc.date.available	2026-06-05T13:12:54Z
Data of data creation dc.date.created	2022-2023
Publication date dc.date.issued	2023-05-08
Abstract of the dataset dc.description.abstract	Replication data and results for Langenhorst, Jan/Frommherz, Yannick/Meier-Vieracker, Simon: Keyness in song lyrics. Challenges of highly clumpy data. In: Journal for Language Technology and Computational Linguistics. This data set contains * Python module used to obtain results presented in paper * Jupyter Notebooks to generate results and create plots * Complete keyword/key-ngram lists * A 'shuffled' version of the songkorpus used in our analysis (replication of ngrams not possible, only keywords)
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2543
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-220
dc.language dc.language	eng
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution 4.0 International
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	1::11::104
Specification of the discipline(s) dc.subject.classification	4::44::408
Specification of the discipline(s) dc.subject.classification	4::44::409
Title of the dataset dc.title	Replication data and results for the paper "Keyness in song lyrics. Challenges of highly clumpy data"
Project title opara.project.title	Keyness in song lyrics. Challenges of highly clumpy data.

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Name:: songkorpus-KLD-keywords.zip
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Description:: Replication data

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