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authorDmitry Marakasov <amdmi3@FreeBSD.org>2016-05-19 10:53:05 +0000
committerDmitry Marakasov <amdmi3@FreeBSD.org>2016-05-19 10:53:05 +0000
commit1f8b48b772b2d0ac0ed48a8259d2117ea3236a90 (patch)
tree06f11bc7b351f3abf3bf5507405afdba5374614e /textproc/dbacl
parent4e942b64191e2ef98dce2c5af31047a8640db768 (diff)
downloadports-1f8b48b772b2d0ac0ed48a8259d2117ea3236a90.tar.gz
ports-1f8b48b772b2d0ac0ed48a8259d2117ea3236a90.zip
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Diffstat (limited to 'textproc/dbacl')
-rw-r--r--textproc/dbacl/pkg-descr16
1 files changed, 8 insertions, 8 deletions
diff --git a/textproc/dbacl/pkg-descr b/textproc/dbacl/pkg-descr
index 97f3cb668f53..486203401761 100644
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+++ b/textproc/dbacl/pkg-descr
@@ -1,10 +1,10 @@
-dbacl is a digramic Bayesian text classifier. Given some text,
-it calculates the posterior probabilities that the input resembles
-one of any number of previously learned document collections.
-It can be used to sort incoming email into arbitrary categories
-such as spam, work, and play, or simply to distinguish an English text
-from a French text. It fully supports international character sets,
-and uses sophisticated statistical models based on the
-Maximum Entropy Principle.
+dbacl is a digramic Bayesian text classifier. Given some text,
+it calculates the posterior probabilities that the input resembles
+one of any number of previously learned document collections.
+It can be used to sort incoming email into arbitrary categories
+such as spam, work, and play, or simply to distinguish an English text
+from a French text. It fully supports international character sets,
+and uses sophisticated statistical models based on the
+Maximum Entropy Principle.
WWW: http://dbacl.sourceforge.net/