| Person(s) who is (are) responsible for the content of the research data | Frommherz, Yannick - TU Dresden (ORCID: 0000-0002-3167-1670) | |
| Person(s) who is (are) responsible for the content of the research data | Langenhorst, Jan - TU Dresden (ORCID: 0000-0002-5620-8738) | |
| Person(s) who is (are) responsible for the content of the research data | Meier-Vieracker, Simon - TU Dresden (ORCID: 0000-0002-0141-9327) | |
| 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) | |
| Counties, the data is referencing | GERMANY | de |
| Language | eng | |
| Year or period of data production | 2022-2023 | |
| Publication year | 2023 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/5801 (Handle) | |
| Content of the research data | Text, Dataset, Software: - Corpus (Songkorpus)
- Results of keyword analysis
- Code to obtain results | |
| Holder of usage rights | TU Dresden | |
| Usage rights of the data | CC-BY-4.0 | |
| Discipline(s) | Computer Science | de |
| Discipline(s) | Information Technology | de |
| Discipline(s) | Linguistics | de |
| Title of the dataset | Replication data and results for the paper "Keyness in song lyrics. Challenges of highly clumpy data" | |
