Detecting Text Reuse and Similarities between Artists in Rap Music through Visualization

TitleDetecting Text Reuse and Similarities between Artists in Rap Music through Visualization
Publication TypeConference Paper
Year of Publication2020
AuthorsMeinecke, Christofer, and Jänicke Stefan
Conference NameLEVIA’20: Leipzig Symposium on Visualization in Applications 2020
Conference LocationLeipzig
KeywordsIntertextuality, Text Reuse, Visualization
AbstractDetecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms like Genius can help in this process through user annotated information about the artist and the song but fail to include visualizations to help users finding similarities and structures on a higher and more abstract level. We propose a prototype to detect and visualize the similarity of rap artists based on their lyrics and monolingual alignments of song lyrics. For this, we apply word and sentence embeddings to lyrics we crawled from Genius.
URLhttps://osf.io/j4cn8/
DOI10.31219/osf.io/j4cn8
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