Creating targeted emotions in the consumers’ brain is essential to the long term success of a brand. This session covers the development and application of a machine learning algorithm that predicts and detects emotional identifications in music. Ric Scheuss (CCO at TRO Music Berlin) and Prof. Dr. Michael Oehler (University Osnabrueck) share insights on how the algorithm understands different demographics and markets and how brand values can be translated accurately into music and sound.

[Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.]