The Data Lab's team likes to get crazy and investigate, analyze and report on data science stories.
These large essays will routinely be complemented by podcast episodes and technical documents.
Dig in, fellow nerds.
Not satisfied with our sentiment analysis efforts, we decided to go one step further and try to understand Seinfeld with a different approach rooted in data science. This time, it worked even better.
Using a language processing algorithm, we analyzed every line of every episode of Seinfeld to determine swings in emotion. Who's the angriest? Which episode is the happiest? The algorithm told us.