Pattern Classification Frameworks?

[Evan Klitzke]

On 6/12/07, Steven Bethard <steven.bethard at gmail.com> wrote:
> In fact, a wide variety of classifiers are used in text classification,
> including Bayesian approaches, support vector machines, conditional
> random fields, etc.
>
> > Are there any other frameworks I should be aware of?
>
> I have used (but not recently) Orange:
>
>      http://www.ailab.si/orange
>
> I haven't used, but have been meaning to try, PyML:
>
>      http://pyml.sourceforge.net/
>
> A more recent addition (whose documentation needs work) is:
>
>      http://montepython.sourceforge.net/
>
> And here's a Summer of Code project to build an ML library:
>
>      http://projects.scipy.org/scipy/scipy/wiki/MachineLearning
>
> These are all general-purpose machine learning frameworks. So they can
> be applied to pretty much any classification problem (including the text
> classification problems you're looking at). You just need to pick out a
> set of relevant features to describe your data, and feed those features
> along with your chosen labels to a machine learning algorithm.
>
> STeVe

Thanks Steven (and Diez), the projects you pointed me to look like
great places to start.

-- 
Evan Klitzke <evan at yelp.com>