On the morning of August 22, Beijing time, Disney and researchers at the University of Massachusetts Boston developed a technology that could use artificial intelligence algorithms to evaluate the popularity of short stories.
Although these artificial intelligence programs can't analyze the quality of stories like professional literary critics, they can predict which stories may be the most popular. "Our neural network has had some success in predicting whether a story can be popular," said Disney researcher Boyang Li. "You can't use them to pick winners of local writing competitions, but they can be used to guide future research."
Researchers use the social quiz site Quora to train artificial intelligence programs, because many of the answers on the site are in the form of stories, so readers' praise can be used as a popular indicator to roughly reflect the quality of the story.
The team collected about 55,000 responses, including more than 28,000 of them, each with an average of 369 words. They then developed two different neural networks—one to look at the different parts of each story, and the other to evaluate a story from a more holistic perspective.
Each artificial intelligence can predict the relative popularity of a story. Both neural networks are better than simple textual evaluations, but the global neural network is 18 times better than the neural network that focuses on each part. %.
The industry believes that film companies may use similar technology to select scripts in the future.
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