In my job at Reuters, I have spent time experimenting with Natural Language Processing as a way of making more sense out of unstructured news stories. For the most part, these attempts have been unsuccessful given the professionally-focussed financial services customers who don't want to leave their news filtering up to nondeterministic software.
That said, I do think the blog community would be much more receptive, and early-adopters, of such an approach to categorize blogs and filter based on criterea like sentiment or "buzz".
I've seen tools like Netmood (http://www.pbump.com/netmood/) that let people rate a blog in realtime, thus enabling others to filter a large list of subscribed blogs in a news aggregator based on whether the community finds them interesting at the moment. This kind of 2-stage filtering would also benefit from "word burst" filtering.... And, I do agree it would be a cool thing to add to Technorati!!
Posted by: Brian Theodore at February 20, 2003 1:48 PM| Sun | Mon | Tue | Wed | Thu | Fri | Sat |
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