Forget 'word clouds' – instead try visualizing bodies of text as directed networks.pic.twitter.com/rHgXcHknJQ
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Forget 'word clouds' – instead try visualizing bodies of text as directed networks.pic.twitter.com/rHgXcHknJQ
Then, if you add force you get a content relationship graph based on frequency and proximity.pic.twitter.com/Eb6ZbEMdXq
Here's the first chapter of Lolita.pic.twitter.com/alMO5jnyFd
The Bible, conversely, gets a bit messier.pic.twitter.com/LyjDmUskw8
Now imagine using this approach to expose realtime trends & relationships across news streams.pic.twitter.com/0VLv9fSpbZ
Text network analysis is not just a powerful lens through which to identify and evaluate things like bias & sentiment – it defines conceptual clusters. Finding structural gaps in these graphs can surface concealed constraints and even establish framing contexts for new ideas.pic.twitter.com/0OIMFpafz0
I'm really enjoying your recent visual/thread-splainer :)
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