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Port details
py-stemming Algorithms for stemming
1.0.1 textproc on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port
Maintainer: rene@FreeBSD.org search for ports maintained by this maintainer
Port Added: 13 Jun 2017 21:02:57
Also Listed In: python
License: PD
Python implementations of the Porter, Porter2, Paice-Husk, and Lovins stemming
algorithms for English. These implementations are straightforward and
efficient, unlike some Python versions of the same algorithms available on the
Web. This package is an extraction of the stemming code included in the Whoosh
search engine.

Note that these are *pure Python* implementations. Python wrappers for, e.g.
the Snoball stemmers and the C implementation of the Porter stemmer are
available on PyPI and will be faster if using compiled code is an option for
you.

Stemming algorithms attempt to automatically remove suffixes (and in some
cases prefixes) in order to find the "root word" or stem of a given word. This
is useful in various natural language processing scenarios, such as search.

In general ``porter2`` is the best overall stemming algorithm, but not
necessarily the fastest or most aggressive.

WWW: https://pypi.python.org/pypi/stemming
SVNWeb : Homepage : PortsMon

To install the port: cd /usr/ports/textproc/py-stemming/ && make install clean
To add the package: pkg install py27-stemming

PKGNAME: py27-stemming

distinfo:

TIMESTAMP = 1497386383
SHA256 (stemming-1.0.1.tar.gz) = 59678702e1d06caffecee82910f048edf12ad89dcf430776b4b05bfb8850bc51
SIZE (stemming-1.0.1.tar.gz) = 10954


NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:
  1. py27-setuptools>0 : devel/py27-setuptools
  2. python2.7 : lang/python27
Runtime dependencies:
  1. py27-setuptools>0 : devel/py27-setuptools
  2. python2.7 : lang/python27
There are no ports dependent upon this port

Configuration Options
     No options to configure

USES:
python

Master Sites:
  1. https://files.pythonhosted.org/packages/source/s/stemming/
  2. https://pypi.python.org/packages/source/s/stemming/

Number of commits found: 1

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
13 Jun 2017 21:02:46
Original commit files touched by this commit  1.0.1
Revision:443539
rene search for other commits by this committer
Python implementations of the Porter, Porter2, Paice-Husk, and Lovins stemming
algorithms for English. These implementations are straightforward and
efficient, unlike some Python versions of the same algorithms available on the
Web. This package is an extraction of the stemming code included in the Whoosh
search engine.

Note that these are *pure Python* implementations. Python wrappers for, e.g.
the Snoball stemmers and the C implementation of the Porter stemmer are
available on PyPI and will be faster if using compiled code is an option for
you.

Stemming algorithms attempt to automatically remove suffixes (and in some
cases prefixes) in order to find the "root word" or stem of a given word. This
is useful in various natural language processing scenarios, such as search.

In general ``porter2`` is the best overall stemming algorithm, but not
necessarily the fastest or most aggressive.

WWW: https://pypi.python.org/pypi/stemming

Number of commits found: 1

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