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<title>Keyness in song lyrics. Challenges of highly clumpy data.</title>
<link>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5800</link>
<description/>
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<rdf:li rdf:resource="https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5859"/>
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<dc:date>2026-04-19T11:00:08Z</dc:date>
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<title>Replication data and results for the paper "Keyness in song lyrics. Challenges of highly clumpy data"</title>
<link>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/5859</link>
<description>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&#13;
Langenhorst, Jan/Frommherz, Yannick/Meier-Vieracker, Simon: Keyness in song lyrics. Challenges of highly clumpy data. In: Journal for Language Technology and Computational Linguistics.&#13;
&#13;
This data set contains&#13;
* Python module used to obtain results presented in paper&#13;
* Jupyter Notebooks to generate results and create plots&#13;
* Complete keyword/key-ngram lists&#13;
* A 'shuffled' version of the songkorpus used in our analysis (replication of ngrams not possible, only keywords)
</description>
<dc:date>2023-01-01T00:00:00Z</dc:date>
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