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‘WARRIORS OF THE WORD’ - DECIPHERING LYRICAL TOPICS IN MUSIC AND THEIR CONNECTION TO AUDIO FEATURE DIMENSIONS BASED ON A CORPUS OF OVER 100,000 METAL SONGS

Comments

👩‍💻 DynamicWebPaige @ 127.0.0.1 🏠: I love machine learning, for a lot of reasons; but one of those reasons is *definitely* that a person can think: "What would happen if I tried to bucketize the lyrics from 124,288 heavy metal songs into categories?" and publish an academic paper on it. https://arxiv.org/pdf/1911.04952v2.pdf https://t.co/BmEpoNMRaS

22 replies, 913 likes


ljegou: cc @Laurent_Beaug via @TristanSalord

0 replies, 6 likes


Zach #masks4all Mueller: As a fan of hard rock and occasionally metal, just YES. 🤘🏻🎸

0 replies, 5 likes


Glenn F. Henriksen: Somehow, I feel that this is pretty much up your alley, @dylanbeattie 🤘

0 replies, 1 likes


Bradley Dilger 😷: the future of @writecroworg is metal 🤘😈🎸👩‍🎤

1 replies, 0 likes


Content

Found on May 18 2020 at https://arxiv.org/pdf/1911.04952v2.pdf

PDF content of a computer science paper: ‘WARRIORS OF THE WORD’ - DECIPHERING LYRICAL TOPICS IN MUSIC AND THEIR CONNECTION TO AUDIO FEATURE DIMENSIONS BASED ON A CORPUS OF OVER 100,000 METAL SONGS