Whitney Hess recently did an analysis of her activity on Twitter using Tweet Clouds and TweetStats. Reading her post inspired me to do the same. Here’s what I came up with (btw, I stripped out the @replies to focus more on the content of the messages) :
I think it would be interesting to look at people’s tweets through a Freudian filter. What would he make of the prominence of words like “happy”, “hoping”, “trying”, “watch”, “think”, “time”, “new” and “season”?
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