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[samuelchvez]

I'm working in an automated dialogue labeler that should work as follows:

Given a set of indicators (keywords) for a given speech, infere what kind of emotion it implies (label it).

I've managed to get almost 8000 string keywords, 500 string labels, and almost 5000 supervised training cases (set(keyword) -> label), and I was willing to use Java Weka / Mulan for this task.

The problem is that my trainer program has been runing for more than 6 hours and it has not yet completed the training ... I need a simplier approach to succeed at this task.

Any insights / ideas? All help is appreciated.

Have a great day!