> It would be interesting to see what webmind would be able to do
> with mailing
> list posts.
We applied the Webmind Classification System (which is based on only a teeny
portion of the Webmind AI Engine, really) to messageboards a lot.
For example, we used it to divide messages on message boards into categories
defined by sentiment pertaining to specific companies, such as “bullish on
Microsoft” or “bearish on Microsoft.”
The California Internet firm NetCurrents provides its customers a companies
a daily report, produced by the Webmind Classification System, summarizing
the good, bad and the ugly that’s been said about them online that day. You
can see the overall “sentiment index” produced from these reports at
http://www.netcurrents.com/nasdaq100.html -- a page that shows you, for each
company on the NASDAQ, “what’s the buzz” today?
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