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There was a suicide note emotion classification challenge:

http://computationalmedicine.org/home-0

Very noisy and sparse data. 25 teams. 22 system description papers. The winner used SVM ensamble.

Zeratul, you're obviously into ML. Would you mind if I asked what your application is? I'm just curious.

I work in computer vision. When I do a machine learning problem, I spend most of my time brainstorming and implementing good features. I'm getting deeper into ML (and loving it). I'm always curious what other people are doing with ML.

Medical language processing, information extraction from patient data, text classification, and clustering.

Yes, it would be great to get a list of hackers that do ML and the domain that they are working with.

I'm working using ML in the casino industry. I use multiple forms of classification and forecasting.

Once upon a time I thought about using ml/vision in slot machines. I would try to read the gamblers emotions/age/sex and the slot machine would change stimulation (music/lights etc; not mess with the odds) to try to keep them at the machine longer.

I thought it was a good idea until I actually visited a casino. People sit at the slots in what looks like a hypnotic state. The emotions don't change much. I don't think I could have made a measurable difference.

I'm not surprised the gambling industry is using ml, but cool to hear about it. Thanks.

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