Methods and systems for determining quality of media content

A server system, comprising:

• a communication interface;
• a memory comprising executable instructions;
• and
• a processor communicably coupled to the communication interface and the memory, the processor configured to cause the server system to at least:
• extract textual data related to a screenplay associated with media content being prepared by a first user;
• segment the textual data into a plurality of sections, wherein each section of the plurality of sections is displayed to a plurality of second users;
• receive one or more user inputs from each of the plurality of second users for each respective section;
• determine, by one or more Machine Learning (ML) models associated with the server system, user behavior corresponding to each second user of the plurality of second users and a set of interpretations related to the screenplay based, at least in part, on the textual data and the one or more user inputs;
• and
• generate, by the one or more ML models, a prediction indicative of a predicted quality of the media content based, at least in part, on the user behavior and the set of interpretations.

A non-transitory computer-readable storage medium comprising computer-executable instructions that, when executed by at least a processor of a server system, cause the server system to perform a method comprising:

• extracting textual data related to a screenplay associated with media content being produces by a first user;
• segmenting the textual data into a plurality of sections, wherein each section of the plurality of sections is displayed to a plurality of second users;
• receiving one or more user inputs from each of the plurality of second users for each respective section;
• determining, by one or more Machine Learning (ML) models associated with the server system, user behavior corresponding to each second user of the plurality of second users and a set of interpretations related to the screenplay based, at least in part, on the textual data and the one or more user inputs;
• and
• generating, by the one or more ML models, a prediction indicative of a predicted quality of the media content based, at least in part, on the user behavior and the set of interpretations.