On Sun, Jul 19, 2009 at 12:02 AM, M. Edward (Ed) Borasky

> Man, it is so good to hear this from someone who's actually done it!
> The other point, though, is that the "real thing", even traffic /
> social network analysis, is compute-resource intensive and requires a
> kind of programming knowledge that few have. So if something simple,
> like emoticon counting, provides *some* clues about sentiment, it may
> be worth doing. I'm not convinced, though, that it is worth doing.

I've been working on commercialising sentiment analysis research,
specifically tuned to microblogs and social media, and my investigations -
both academic and talking to potential customers - lead me to believe it
really is worth doing. Sentiment stuff specifically can be done far more
cheaply compute-wise than full-scale semantic understanding of language.

The key thing though, to any app developer or startup founder, is *not* to
rely on Twitter. We've been asked this several times by investors now: what
happens if Twitter fails? Develop stuff that's platform and network agnostic
and revel in the fact that there's definitely a ton of interest in the space
right now - despite some players being around for 10 years ;)


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