- Author
- Romeo De Timmerman (UGent)
- Organization
- Abstract
- This repository contains data used in a quantitative analysis of blues lyrics performed by artists across time and socio-cultural groups. The code for this analysis can be found on [this GitHub repository](https://github.com/romeodetimmerman/aae-in-blues-slx_and_music). It specifically trains a gradient boosting classifier using the Catboost library to predict the use of certain features of African American English in a corpus of 270 studio recorded songs. This analysis is a part of my PhD project on the use of African American English features as indexical expressions of authenticity in blues music.
- License
- LicenseNotListed
- Other license
- https://github.com/romeodetimmerman/aae-in-blues-slx_and_music/blob/main/LICENSE
- Access
- restricted access
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01J1SQSJDCBMXXQRTBNJ3G6Q1F
@misc{01J1SQSJDCBMXXQRTBNJ3G6Q1F,
abstract = {{This repository contains data used in a quantitative analysis of blues lyrics performed by artists across time and socio-cultural groups. The code for this analysis can be found on [this GitHub repository](https://github.com/romeodetimmerman/aae-in-blues-slx_and_music). It specifically trains a gradient boosting classifier using the Catboost library to predict the use of certain features of African American English in a corpus of 270 studio recorded songs. This analysis is a part of my PhD project on the use of African American English features as indexical expressions of authenticity in blues music.}},
author = {{De Timmerman, Romeo}},
language = {{eng}},
publisher = {{OSF}},
title = {{Data for "Covering Blue Voices: African American English and Authenticity in Blues Covers"}},
url = {{http://doi.org/10.17605/OSF.IO/TBM3D}},
year = {{2024}},
}
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