Kurt Vonnegut took an early interest in what he considered the fundamental “shapes” of stories…
Stories have very simple shapes, ones that computers can understand.
This was the basic idea behind the master’s thesis that Kurt Vonnegut submitted to the anthropology department at the University of Chicago. It was rejected, however, “because it was so simple and looked like too much fun,” Vonnegut said…
He never abandoned the idea. Years later, in a 2004 lecture at Case Western University, he shared his theory– a recording of which has washed around the internet ever sense…
Now, a group of academics have used AI to analyze hundreds of published stories, and have confirmed Vonnegut’s contention (sort of: he argued for 8 “shapes”; they found 6), as they explain in the abstract of their paper…
Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture’s evolution through its texts using a ‘big data’ lens. Our ability to communicate relies in part upon a shared emotional experience, with stories often following distinct emotional trajectories and forming patterns that are meaningful to us. Here, by classifying the emotional arcs for a filtered subset of 1,327 stories from Project Gutenberg’s fiction collection, we find a set of six core emotional arcs which form the essential building blocks of complex emotional trajectories. We strengthen our findings by separately applying matrix decomposition, supervised learning, and unsupervised learning. For each of these six core emotional arcs, we examine the closest characteristic stories in publication today and find that particular emotional arcs enjoy greater success, as measured by downloads…
As we agnize archetypes, we might spare a thought for a master of the entertaining tale, Jean-Baptiste Poquelin (or as he’s better known by his stage name, Molière); he died on this date in 1673. A playwright, actor, and poet, he is widely regarded as one of the greatest writers in world history, and possibly the greatest writer in French history. His extant works include comedies, farces, tragicomedies, comédie-ballets, and more. His plays have been translated into every major living language and are performed at the Comédie-Française more often than those of any other playwright today. His influence is such that the French language is often referred to as the “language of Molière.”
I’ve started working on a textual analysis of popular country music.
More specifically, I scraped Ranker.com for a list of the top female and male country artists of the last 100 years and used my python wrapper for the Genius API to download the lyrics to each song by every artist on the list. After my script ran for about six hours I was left with the lyrics to 12,446 songs by 83 artists stored in a 105 MB JSON file. As a bit of an outsider to the world of country music, I was curious whether some of the preconceived notions I had about the genre were true.
Some pertinent questions:
Which artist mentions trucks in their songs most often?
Does an artist’s affinity for trucks predict any other features? Their gender for example? Or their favorite drink?
How has the genre’s vocabulary changed over time?
Of all the artists, whose language is most diverse? Whose is most repetitive?…
As we parse the pain, we might recall that it was on this date in 1970 that Loretta Lynn’s epic “Coal Miner’s Daughter” hit #1 on the Billboard Country chart. It mentions neither truck nor beer.
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