Open Bible has a fascinating on post Applying Sentiment Analysis to the Bible.
Sentiment analysis involves algorithmically determining if a piece of text is positive (“I like cheese”) or negative (“I hate cheese”). Think of it as Kurt Vonnegut’s story shapes backed by quantitative data.
The post started with a plot of the data for the whole Bible, which for anyone interested in the “big picture” of the Bible’s story is fascinating. But the data, calculated using available software on an English translation based on the calculated probability of a verse being positive or negative in sentiment, allows a closer look, and running a five verse running average gives really striking and thought provoking “pictures” of each Bible book.
Which both seem intuitively “right”. However, Esther needs some thought:
I’m currently teaching the Song of Songs, and last week was Ecclesiastes, so these are interesting:
…but is it as simple as that? ;)