AForge.NET

  :: AForge.NET Framework :: Articles :: Forums ::

Insights on product labeler problem

The forum is to discuss topics from different artificial intelligence areas, like neural networks, genetic algorithms, machine learning, etc.

Insights on product labeler problem

Postby samuelchvez » Mon Dec 10, 2012 5:27 pm

Hi guys, I'm pretty new to AI field, but I'm deeply interested in it.

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

Given a set of indicators (keywords) for a given product, infere what kind of product it is (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?

Have a great day!
samuelchvez
 
Posts: 1
Joined: Mon Dec 10, 2012 5:26 pm



Return to Artificial Intelligence