building text classifier using mahout

Question

I want to build text classifier where category will be determined by the text.

Which classifier should I work with?

I have been reading about mahout. Is mahout sufficient. I have about 1Mils documents to train.

I could not find a better example/tutorial of mahout classifier.

Does mahout has http server where I make request and it1 gives me response back?

If not how do I embed mahout in my web app (PHP)

Please suggest some good tutorial on mahout..

Julian Ortega · Accepted Answer · 2012-10-16 09:09:31Z

2

It seems that your data is not labeled, so I believe you are looking at a clustering problem.

I strongly suggest you start with the Mahout in Action book. The book covers Recommendations, Clustering and Classification. It should have all the information you need to get you started.

answered Oct 16, 2012 at 9:09

Julian Ortega

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zhangv · Accepted Answer · 2012-10-24 14:05:56Z

1

NaiveBayesClassifier

Mahout does not have embeded http server, you have to build your own. And the PHP can just request the service as a http client.

There's any demo implementation in Mahout in action, but it is not based on http.

Good luck!

answered Oct 24, 2012 at 14:05

zhangv

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