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.

Published in: on 13 February 2012 at 6:00 pm  Comments (6)  
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Twitter Influence System

Twitter flow chart

Twitter influence is subtle and difficult to capture

Twitter influence ranges beyond measuring followers, @ replies and re-tweets. It isn’t trivial to calculate the true reach of an individual’s Twitter updates. Such are the challenges encountered in quantifying influence (perhaps even value) of Twitter users’ activity.

Percentage of Tweets Read

Actual percentage of Twitter content read

This chart shows the percentage of tweets read in relation to the number of people followed. As could be expected, the more people you follow, the smaller the percentage of tweets you actually read.

Both images, Twitter Influence EcoSystem and Percentage of Tweets Read are original work by John V Lane, via Flickr, and reproduced here under Creative Commons License/by-sa/2.0.

Published in: on 8 July 2011 at 8:05 pm  Comments (4)  
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