Explorative Visual Analysis of Rap Music

Christofer Meinecke; Ahmad Dawar Hakimi; Stefan Jänicke

doi:10.3390/info13010010

Explorative Visual Analysis of Rap Music

Christofer Meinecke^*, Ahmad Dawar Hakimi, Stefan Jänicke

^*Corresponding author for this work

Department of Mathematics and Computer Science

Leipzig University

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms such as Genius. can help in this process through user-annotated information about the artist and the song but fail to include visualizations to help users find similarities and structures on a higher and more abstract level. We propose a prototype to compute similarities between rap artists based on word embedding of their lyrics crawled from Genius. Furthermore, the artists and their lyrics can be analyzed using an explorative visualization system applying multiple visualization methods to support domain-specific tasks.

Original language	English
Article number	10
Journal	Information
Volume	13
Issue number	1
Number of pages	18
ISSN	2078-2489
DOIs	https://doi.org/10.3390/info13010010
Publication status	Published - Jan 2022

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

Information visualization
Intertextuality
Text reuse
Visual exploration
Visual text analysis

Documents & Links

10.3390/info13010010

Open Access VersionFinal published version, 1.67 MBLicence: CC BY

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Cite this

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title = "Explorative Visual Analysis of Rap Music",

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AU - Jänicke, Stefan

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N2 - Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms such as Genius. can help in this process through user-annotated information about the artist and the song but fail to include visualizations to help users find similarities and structures on a higher and more abstract level. We propose a prototype to compute similarities between rap artists based on word embedding of their lyrics crawled from Genius. Furthermore, the artists and their lyrics can be analyzed using an explorative visualization system applying multiple visualization methods to support domain-specific tasks.

AB - Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms such as Genius. can help in this process through user-annotated information about the artist and the song but fail to include visualizations to help users find similarities and structures on a higher and more abstract level. We propose a prototype to compute similarities between rap artists based on word embedding of their lyrics crawled from Genius. Furthermore, the artists and their lyrics can be analyzed using an explorative visualization system applying multiple visualization methods to support domain-specific tasks.

KW - Information visualization

KW - Intertextuality

KW - Text reuse

KW - Visual exploration

KW - Visual text analysis

U2 - 10.3390/info13010010

DO - 10.3390/info13010010

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JF - Information

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M1 - 10

ER -

Explorative Visual Analysis of Rap Music

Abstract

Bibliographical note

Keywords

Documents & Links

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