I'm by no means among the "Greatest A.I. Minds of my generation" but count my among those who tried to use twitter as an input to an "A.I." system and had to finally admit I couldn't tame it.

In my case it was an automated trading system where twitter was one of about 50 different inputs that drove a hidden markov model that spit out buy/sell/hold signals.

I couldn't figure out how to "clean" the twitter stream in real time, either fast enough, or thoroughly enough to make the inputs usable.

Even when I scaled back to using only StockTwits input the data was so noisy that it wasn't usable by me.

It's a very hard problem. Bloomberg spent a lot of money trying to develop new sentiment indicators and after following it for 6 months I found they are no better than a 50-50 guess, and this is a product they want $10,000/month plus for.