Actually, I'm starting to get some nifty results from my dissertation. I've spent a long summer writing surveys and software, and in the next few weeks I hope to have something to show for it. Exhibit A: a word cloud for an automated classifier of political content.
Orange words are associated with political content, and blue words are disassociated. The size of a word denotes the strength of association -- essentially, the size of each word corresponds to the absolute value of the beta value of the word in a logistic regression with "political-ness" as the dependent variable. The layout of the words is done by computer algorithm to conserve space; it doesn't carry any important information.
I used wordle for the layout. The classifier runs regularized logistic regression using the scikits.learn package for python. The training data is from a team of undergraduate research assistants.
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