I don’t recognize any of the artists on the list. Neither did he, Whitman admits. But now many of them have made their way into his daily rotation. “Just wait a few weeks and people will start talking more and more about them and they’ll take off.”
How does he know? The machines told him, naturally. Fresh Finds takes a central component of The Echo Nest’s original methodology—its web content crawler and natural language processing technology—to mine music blogs and reviews from sites like Pitchfork and NME and figure out which artists are starting to generate buzz, but don’t yet have the listenership to show for it. Using natural language processing, the system analyzes the text of these editorial sources to try and understand the sentiment around new artists. For instance, a blogger might write that a band’s “new EP blends an early ’90s throwback grunge sound with mid-’80s-style synthesizers and production—and it’s the best thing to come out of Detroit in years.” If this imaginary act goes on tour and writers in Brooklyn dole out praise of their own, the bots will pick up on it. It helps address an issue some people have voiced early on with Apple Music, that its selections aren’t adventurous and it tends to recommend things you already like rather than things you might like.