Index: head/devel/py-naiveBayesClassifier/Makefile
===================================================================
--- head/devel/py-naiveBayesClassifier/Makefile	(revision 455064)
+++ head/devel/py-naiveBayesClassifier/Makefile	(revision 455065)
@@ -1,18 +1,19 @@
 # Created by: Dan Langille <dvl@FreeBSD.org>
 # $FreeBSD$
 
 PORTNAME=	naiveBayesClassifier
 PORTVERSION=	0.1.3
+PORTREVISION=	1
 CATEGORIES=	devel python
 MASTER_SITES=	CHEESESHOP
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 
 MAINTAINER=	dvl@FreeBSD.org
 COMMENT=	Yet another general purpose naive bayesian classifier
 
 LICENSE=	MIT
 
 USES=		python
 USE_PYTHON=	distutils autoplist
 
 .include <bsd.port.mk>
Index: head/devel/py-naiveBayesClassifier/pkg-descr
===================================================================
--- head/devel/py-naiveBayesClassifier/pkg-descr	(revision 455064)
+++ head/devel/py-naiveBayesClassifier/pkg-descr	(revision 455065)
@@ -1,4 +1,21 @@
-yet another general purpose Naive Bayesian classifier.
+Yet another general purpose Naive Bayesian classifier.
 (under heavy development)
+
+Naive Bayes Classifier is probably the most widely used text classifier, 
+it's a supervised learning algorithm. It can be used to classify blog posts
+or news articles into different categories like sports, entertainment and
+so forth. 
+
+Naive Bayes is a simple technique for constructing classifiers: models that
+assign class labels to problem instances, represented as vectors of feature
+values, where the class labels are drawn from some finite set. It is not a
+single algorithm for training such classifiers, but a family of algorithms
+based on a common principle: all naive Bayes classifiers assume that the value
+of a particular feature is independent of the value of any other feature,
+given the class variable. For example, a fruit may be considered to be an apple
+if it is red, round, and about 10 cm in diameter. A naive Bayes classifier
+considers each of these features to contribute independently to the probability
+that this fruit is an apple, regardless of any possible correlations between
+the color, roundness, and diameter features.
 
 WWW: https://pypi.python.org/pypi/naiveBayesClassifier