Ad hoc text analytics

Twitter 2009

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.

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Published in: on February 13, 2012 at 6:00 pm  Comments (6)  
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6 CommentsLeave a comment

  1. Sentiment analysis, eh? You wouldn’t happen to have a link to the package if it’s still around, would you?

    • Greetings Evan,
      Of course I have a link to it. And I have no intention of divulging that information unless you make it worth my while. Hint: It is in use now, but in a very different context. Think… bio-informatics and NLP. Yet this “adaptation” of it runs quickly in a web browser. No API, though a clever Python-ista could figure something out.
      Hey hey! WordPress.com now accepts JavaScript…in comments? Look at this:

      Thank you for stopping by (I appreciate non-spam visitors).

  2. Interesting.

    • Hello, Bell Southpaw! Thank you for visiting. Consider leaving a longer comment in the future? I know who you are, but Akismet gets confused. I had to fish this out of the spam bin, which I confess, wasn’t too difficult. I’m always happy to receive comments, the chattier the better, okay?
      ;o)

  3. [...] background-position: 50% 0px; background-color:#222222; background-repeat : no-repeat; } myindigolives.wordpress.com (via @EllieAsksWhy) – Today, 12:00 [...]

  4. Very interesting little project! Would love to hear a little more about the results. Did you compare the results of the “bright” people against people you thought weren’t so “bright”? Seems to me you could have created a “thoughtful person index” or something, akin to the Klout score as you inferred. Perhaps if your score was merged with the account’s Klout score and the number of followers of the account you really could identify some interesting people to follow.

    Best…Rich (@murnane)


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