I’ve just finished reading an interesting take on the frequent Twitter - yes this is another post about Twitter, but this time its not really knocking them, so much as talking about the engineering
As one of the “old dogs” in the field of Text Analytics, I thought it was high time that I jotted down my thoughts on all the changes that the space has undergone over the last 12 months or so.
It seems every start-up and their brother is rolling out a sentiment solution these days. A small sample of them (thanks to David Barrowcliff for these) includes:
I had the good fortune or bad luck (depending on whether the joy of learning outweighs the pain of traveling) of attending a number of interesting talks and panel sessions this week on Enterprise 2.0
So it seems like that Text Analytics as a technology space is in the process of coming of age, with Sue Feldman at IDC dubbing c
So following on from what I was writing about last week I’ve been doing some more work on a generic text from html extractor. However in showing the results to a few people a question came up.
There is an old adage ‘put rubbish in and get rubbish out’ and that has never been truer than in the text analytics fields.
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