Which Python Bayesian text classification modules are similar to dbacl?

Question

A quick Google search reveals that there are a good number of Bayesian classifiers implemented as Python modules. If I want wrapped, high-level functionality similar to dbacl, which of those modules is right for me?

Training

% dbacl -l one sample1.txt
% dbacl -l two sample2.txt

Classification

% dbacl -c one -c two sample3.txt -v
one

score 9 · Accepted Answer · answered Apr 02 '09 at 00:49

9

I think you'll find the nltk helpful. Specifically, the classify module.

answered Apr 02 '09 at 00:49

theycallmemorty

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I don't believe NLTK includes a feature selection algorithm, but it has frequency dist tools etc so you can write your own and feed it to the classifier of your choice. – apexdodge Dec 28 '10 at 05:55

score 0 · Answer 2 · answered Apr 02 '09 at 03:57

0

If you're trying to detect language this works fine even with pretty short texts.

The api is pretty close to yours but I don't know if it is called a Bayesian classifier.

answered Apr 02 '09 at 03:57

fulmicoton

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score -1 · Answer 3 · answered Apr 03 '13 at 14:50

-1

Try Mallet and LingPipe. they provide more models for the classifier.

answered Apr 03 '13 at 14:50

Vikrant Sagar

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These are Java libraries, not Python. – tripleee Jan 08 '16 at 10:10

Which Python Bayesian text classification modules are similar to dbacl?

3 Answers3