Word Frequencies in Front Page HN Titles
chegra.posterous.com
chegra.posterous.com
It also drops off pretty fast. You'd think you'd see a lot more reused words.
The graph is also pretty poorly designed. The most important elements (the words) are aligned vertically, which means you have to turn your head to read them. Why not put the words on the Y axis?
It might be interesting to compare your word counts with the word counts from a general-purpose word corpus, then pick out words that appear more frequently by a statistically-significant amount. Something like Amazon's statistically improbable phrases algorithm.
Pln(P/Q)
where P is the frequency of the word in the narrow corpus (HN titles)
and Q is the frequency of the word in the general-purpose corpus
(formula doesn't work if Q is ever zero; this won't happen if the broader corpus includes the narrower one, as it should, but as a practicality, just make Q:=(1-a)Q+a*P for small positive a to simulate merging the smaller corpus into the larger)
http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_diverg...
Anybody with more time than I have at the moment want to code this up?