6 ms·
There was a suicide note emotion classification challenge: http://computationalmedicine.org/home-0 http://computationalmedicine.org/home-0 Very noisy and spar
by zeratul 15y ago
There was a suicide note emotion classification challenge:
http://computationalmedicine.org/home-0 http://computationalmedicine.org/home-0
Very noisy and sparse data. 25 teams. 22 system description papers. The winner used SVM ensamble.
- monk_the_dog 15y agoZeratul, 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.
- zeratul 15y agoMedical 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.
- aperrien 15y agoI'm working using ML in the casino industry. I use multiple forms of classification and forecasting.
- monk_the_dog 15y agoOnce 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.