This intrigues me. I'm fascinated by storytelling and the psychological impact of it, and data science/analytics is what I'm doing for a startup. I had never really considered the intersection of the two, I'm curious where your interest lies there. Analyzing successful stories to find out why they're successful? Finding ways in which stories can be improved?

I think step zero for any kind of "story analysis" would be extracting structured data from the raw text--pulling out things like emotions, foreshadowing, revelations, and so on. This is pretty interesting because I don't know that I've ever heard of this type of thing--for the most part text analysis focuses on things like sentiment, topic extraction and so on. There may be some fertile ground here for new types of analyses based on how stories work.

Curious to hear your thoughts... feel free to drop me a line as well to chat more, jason [at] applieddatalabs [dot] com