Ad hoc text analytics

I found an old sentiment analysis application. It has very unglamorous packaging but a  good algorithm under the hood. I ran the Twitter user id’s of the brightest people I know. well, know of, who are active Twitter users. The assessment of “bright” was subjective by me.  All are acknowledged experts or advanced degree holders. Maybe half speak English as a second language, but are sufficiently articulate that their “essence”, well, intelligence shines through.

Guess what: It worked! I don’t know if anyone cares about this sort of thing, that really sharp successful people score well on this sentiment analysis indicator. That doesn’t necessarily mean it would have any predictive value. And no one seems to care much about this anyway. But what I’m saying is that most of these people only have okay-ish Klout scores e.g. 40’s. But they’re not trying to use Twitter for any particular social media purpose. Well, I don’t know that with certainty.

Wordle Finally Arrives…

I’ve found that works by T.S. Eliot are particularly suitable for wordl-ing.  This one is an excerpt from the Nobel Prize-winning poet’s The Love Song of J.Alfred Prufrock.  In order to view in full splendor, clicking on the image is unfortunate but necessary. as Wordle is covered by some rather specific licensing agreements. 

Let us go then, you and I...