A Team of MIT Scientists Taught an AI to Get Emotional Over Movies
INSIDE OUT – Pictured: Joy. ©2015 Disney•Pixar. All Rights Reserved.
“We developed machine-learning models that rely on deep neural networks to ‘watch’ small slices of video—movies, TV, and short online features—and estimate their positive or negative emotional content by the second,” the team wrote in a blog post Monday morning.
The approach didn’t just pay attention to the general plot line of a movie, but also to more subtle aspects, including the score, and close-ups of a person’s face. Using these clues, the project’s machine learning algorithms were able to identify positive and negative emotions, and map out the extend to which each scene would provoke emotional responses — something the researchers called “visual valence.”
...the fact that artificial intelligence can be used to analyze the emotional arc of a movie, and with that predict an audience response, could be profound for Hollywood, the researchers argued.
See the full story here: http://variety.com/2017/digital/news/ai-emotional-arcs-mit-mckinsey-1202635570/