aboutsummaryrefslogtreecommitdiff
path: root/python/pattern
diff options
context:
space:
mode:
authorB. Watson <yalhcru@gmail.com>2016-11-06 17:17:12 -0500
committerWilly Sudiarto Raharjo <willysr@slackbuilds.org>2016-11-12 06:58:01 +0700
commit9c6ae9837dbc6d38f1be84503fb4aa9e6c000a34 (patch)
tree4e70412b83f1824ce8bc55286b519df817012a6c /python/pattern
parent120cd0a5bd08c58203acb16db76664894199e1c1 (diff)
python/pattern: Update README.
Diffstat (limited to 'python/pattern')
-rw-r--r--python/pattern/README12
1 files changed, 7 insertions, 5 deletions
diff --git a/python/pattern/README b/python/pattern/README
index a1c152e8a8cb..5723a85022cb 100644
--- a/python/pattern/README
+++ b/python/pattern/README
@@ -1,10 +1,12 @@
+pattern (a web mining module for Python)
+
Pattern is a web mining module for the Python programming language.
-It bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider,
-HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface,
-syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity +
-LSA metrics), clustering and classification (k-means, k-NN, SVM), and data
-visualization (graph networks).
+It bundles tools for data retrieval (Google + Twitter + Wikipedia API,
+web spider, HTML DOM parser), text analysis (rule-based shallow parser,
+WordNet interface, syntactical + semantical n-gram search algorithm,
+tf-idf + cosine similarity + LSA metrics), clustering and classification
+(k-means, k-NN, SVM), and data visualization (graph networks).
The module is bundled with 30+ examples and 350+ unit tests.