Hi,
On Wed, Oct 26, 2011 at 4:22 PM, SK Sn <[email protected]> wrote:
> Hi there, I am looking into how to implement multi-label
> text classification.
> Generally, am training models just as normal multi-class classification,
> but for predication/test, I want to make it multi-label, i.e. getting more
> than one labels for predication on a given test item.
>
> The easiest way would be implementing a battery of one-vs-all classifiers,
> which actually as I understand, is what happens under the hood when one uses
> most of the classification methods for multi-class.
>
Another option that you could consider is to train n (where n is the number
of labels)
two-class (label on vs label off) classifiers.
Hope this helps
Paolo
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