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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 re
by jasonkolb 13y ago
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
- SCAQTony 13y agoI will drop you a line. My antipathy towards the subject is that I have analytics people telling me what to design and some of them think they are the "center of infinity." In regards to topic or plot extraction I would start with "The Seven Basic Plots - Why We Tell Stories" by Christopher Booker: The Guardian review: http://www.theguardian.com/books/2004/nov/21/fiction.features http://www.theguardian.com/books/2004/nov/21/fiction.feature... ) and then break down which plots in both literature and film are "fashionable" or why they work.. We are off topic now, I will take this of line