I’m working in an automated dialogue labeler that should work as
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!
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