Every tweet, no matter how trivial, reveals the writer's mood, through word choice--It can be as obvious as "happy" or as subtle as "diamond."
Now imagine if you could take that knowledge, scale it up to the entire Twitter-verse, and use it to gauge the entire country's mood? That's exactly what Alan Mislove, a computer scientist, at Northeastern University, did, using 300 million tweets in real time. Check it out in action, over time--you can actually see moods rising at the end of the work day, and that same pattern gets repeated across time zones:
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