Implications of a Rap Neural Network
Tahir Hemphill
In-progress

Tahir Hemphill is creating a neural network to examine how cultural production is influenced by artificial intelligence, ultimately engaging participants to explore what is gained, lost, and transformed in the process. The neural network is trained on the Hip-Hop Word Count, a big data project created by Hemphill that applies Natural Language Processing to a database of approximately 200,000 hip-hop songs from 1979 to the present day. Hemphill’s project is called Implications of a Rap Neural Network.

Famous Rap Singers. © Tahir Hemphill
Famous Rap Singers. © Tahir Hemphill

 

About the Artist

Tahir Hemphill is an African-American multimedia artist, scientist and designer of the Hip Hop Word Count database.

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