Here’s something that caught my eye: Researchers at the University of Vermont, in the Computational Story Lab (!), did an interesting word content analysis on 1,700 stories downloaded from Gutenberg. Each story had been downloaded at least 150 times by readers.
The researchers used “sentiment analysis” that measures the positive or negative emotional impact of words. Using a sliding window they attempted to characterize the “emotional arcs” of each story. Their goal was to see if there were common patterns.
Turns out, there are!