By GRANT ROBERTSON
They know what songs you like, even before you like them.
Record labels spend millions of dollars each year trying to predict what singles will top the charts and which ingredients make a hit single.
Now, two Massachusetts Institute of Technology PhD grads believe they have cracked the code.
After years of crunching data, Brian Whitman and Tristan Jehan have devised a computer program that listens to a song, then predicts how humans will react to it.
The response is so specific at times that it can forecast how a single will perform on the charts and spit out a review, guessing what words will be used to describe it, from "sexy to romantic to loud and upbeat," Mr. Whitman said.
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