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That's valuable feedback - I hope FT Search is listening and not just limiting the learning to their own survey on the site. As Google learns daily, algorithms only take you so far. It will be interesting to experience the richness of semantic or people-powered search and filters. Will we have tools that learn? I wrote a couple of posts a while back on Artificial Intelligence agents as Conversation Agents for that reason - imagining what's next in Web technology.

Interesting. I can definitely see the possibilities of this tool for PR purposes, but it looks like the algorithm used to determine positive, negative or neutral coverage could use some tweaking. Just did a keyword search of our institution and the three articles the search tagged as "negative" really weren't. Two were about a researcher's development of a new method to test for cancer, and the third was about an expert's availability to discuss space debris. Perhaps the algorithm screens for "negative" words (such as "cancer") then concludes that the story is negative. If that's the case, then a LOT of positive research stories could end up in the negative category.

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