Patent Document ID: 9754219
Application ID: 15413323
Patent Flag: 1

Claim One:
1. A method of using classified text and deep learning algorithms to identify entertainment risk and provide objective assessment comprising: obtaining one or more training datasets for textual data corresponding to one or more entertainment classifications, wherein said entertainment classifications comprise one or more genres of interest; training one or more deep learning algorithms using said one or more training datasets; obtaining one or more proposed entertainment documents as test data; applying said one or more deep learning algorithms to said one or more entertainment documents to determine and report how accurately said one or more entertainment documents is representative of said one or more genres of interest; enabling a user with a graphical user interface to determine if said determination of representativeness is a false positive or a true positive and to what degree; and enabling said user to re-train said one or more deep learning algorithms if said determination of representativeness is a false positive or a true positive.