US 12,450,499 B2
Script analytics to generate quality score and report
Lori L. Huck, Los Angeles, CA (US); Alexis L. Johnson, La Crescenta, CA (US); and Mara I. Lucien, Los Angeles, CA (US)
Assigned to Disney Enterprises, Inc., Burbank, CA (US)
Filed by Disney Enterprises, Inc., Burbank, CA (US)
Filed on Sep. 28, 2020, as Appl. No. 17/035,348.
Prior Publication US 2022/0101157 A1, Mar. 31, 2022
Int. Cl. G06N 5/04 (2023.01); G06F 40/289 (2020.01); G06N 20/00 (2019.01); G06Q 10/0637 (2023.01); G06Q 10/0639 (2023.01); G06Q 10/101 (2023.01)
CPC G06N 5/04 (2013.01) [G06F 40/289 (2020.01); G06N 20/00 (2019.01); G06Q 10/06375 (2013.01); G06Q 10/06395 (2013.01); G06Q 10/101 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving, by a processor:
a script for producing media content,
a plurality of tags related to content of the script, wherein the plurality of tags are generated using a first machine learning model trained to generate tags based on script elements, and wherein the script elements comprise plot devices, character types, or dialogue counts or distributions, and
a quality score for the script generated by a second machine learning model configured to process the plurality of tags, wherein a selection of the second machine learning model is based at least in part on a genre of the script;
outputting, by the processor and via a graphical user interface, one or more proposed modifications for the script based on the quality score and the plurality of tags;
automatically applying the one or more proposed modifications to the script; and
automatically refining the second machine learning model based on feedback relating to the quality of the script.