File: control

package info (click to toggle)
python-pattern 2.6%2Bgit20180818-4
  • links: PTS
  • area: main
  • in suites: bookworm
  • size: 95,148 kB
  • sloc: python: 28,136; xml: 15,085; javascript: 5,810; makefile: 194
file content (29 lines) | stat: -rw-r--r-- 1,300 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
Source: python-pattern
Section: python
Priority: optional
Maintainer: Miriam Ruiz <miriam@debian.org>
Build-Depends:
 debhelper (>= 9), quilt, wordnet-base, dh-python, python3-minimal,
 python3-all, python3-setuptools, python3-future,
 python3-liblinear, python3-nltk, python3-lxml, python3-pdfminer,
 python3-bs4, python3-feedparser, python3-simplejson, python3-requests,
 python3-numpy, python3-scipy, python3-cherrypy3, wordnet-base
Standards-Version: 4.6.0.1
Homepage: https://github.com/clips/pattern

Package: python3-pattern
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends},
 python3-liblinear, python3-feedparser, python3-bs4, python3-nltk,
 python3-simplejson, python3-numpy, python3-scipy, python3-requests,
 wordnet-base
Recommends: python3-pdfminer
Description: web mining module for Python 3
 Pattern is a web mining module for the Python programming language. It has
 tools for data mining (Google, Twitter and Wikipedia API, a web crawler,
 a HTML DOM parser), natural language processing (part-of-speech taggers,
 n-gram search, sentiment analysis, WordNet), machine learning (vector space
 model, clustering, SVM), network analysis and <canvas> visualization.
 .
 The module is free, well-document and bundled with 50+ examples and
 350+ unit tests.