Artist Predictive Success Algorithm

摘要

Systems and methods are described for training a predictive model using social media data for artists from a period of time prior to the immediate past year and for using the trained model on social media metrics collected in the immediate prior year for the same set of artists to predict probability of success in a future period of time. The “training set” of artists includes both artists that have experienced success in the past year and artists that have yet to experience any success according to selected criteria. The predictive model predicts the next big musical success in the entertainment marketplace.

主权项

1. A method comprising:
collecting social media data of a first time period and generating a database that includes the social media data, wherein the social media data corresponds to a plurality of musical artists and comprises network metrics that are subject to a set of transformations; generating a trained predictive model by training a predictive model using the social media data of the first time period; collecting the social media data of a second time period that is different from the first time period; applying the trained predictive model to the social media data of the second time period; and generating a probability of success for each musical artist of the plurality of musical artists, wherein the probability of success corresponds to a future time period and comprises a probability of each musical artist achieving a success criterion.