freebsd-ports/textproc/py-stemming/distinfo

TIMESTAMP = 1497386383
SHA256 (stemming-1.0.1.tar.gz) = 59678702e1d06caffecee82910f048edf12ad89dcf430776b4b05bfb8850bc51
SIZE (stemming-1.0.1.tar.gz) = 10954
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 2017-06-13 23:02:46 +02:00			`TIMESTAMP = 1497386383`
			`SHA256 (stemming-1.0.1.tar.gz) = 59678702e1d06caffecee82910f048edf12ad89dcf430776b4b05bfb8850bc51`
			`SIZE (stemming-1.0.1.tar.gz) = 10954`