PyStemmer


NamePyStemmer JSON
Version 2.2.0.3 PyPI version JSON
download
home_pagehttps://github.com/snowballstem/pystemmer/
SummarySnowball stemming algorithms, for information retrieval
upload_time2024-10-10 00:36:25
maintainerRichard Boulton
docs_urlNone
authorRichard Boulton
requires_pythonNone
licenseMIT, BSD
keywords python information retrieval language processing morphological analysis stemming algorithms stemmers
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Stemming algorithms

PyStemmer provides access to efficient algorithms for calculating a
"stemmed" form of a word.  This is a form with most of the common
morphological endings removed; hopefully representing a common
linguistic base form.  This is most useful in building search engines
and information retrieval software; for example, a search with stemming
enabled should be able to find a document containing "cycling" given the
query "cycles".

PyStemmer provides algorithms for several (mainly European) languages,
by wrapping the libstemmer library from the Snowball project in a Python
module.

It also provides access to the classic Porter stemming algorithm for
English: although this has been superseded by an improved algorithm, the
original algorithm may be of interest to information retrieval
researchers wishing to reproduce results of earlier experiments.

            

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