New AI Tool Can Predict Movie Rating Before Any Scene Is Shot
Shrikanth Narayanan, University Professor and Niki & C. L. Max Nikias Chair in Engineering, and a team of researchers from the Signal Analysis and Interpretation Lab (SAIL) at USC Viterbi, demonstrated that linguistic cues can efficiently indicate violent behavior, drug abuse, and sexual content about to be taken by a film's characters.
The AI tool processes the script through a neural network and scans it for semantics and sentiment expressed. By classifying the sentences as positive, negative, aggressive, and other descriptors, it churns out a rating at the end.
Victor Martinez, the lead researcher on the study, said, "Our model looks at the movie script, rather than the actual scenes, including e.g. sounds like a gunshot or explosion that occur later in the production pipeline. This has the benefit of providing a rating long before production to help filmmakers decide e.g. the degree of violence and whether it needs to be toned down."
Tools like these will help raise societally-meaningful awareness, for example, through identifying negative stereotypes."
See the full story here: https://interestingengineering.com/new-ai-tool-can-predict-movie-rating-before-any-scene-is-shot