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PyStemmer 1.3.0.
pip install PyStemmer Copy PIP instructions.
Last released: Feb 25, 2013.
Snowball stemming algorithms, for information retrieval.
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License: BSD License, MIT License (MIT,BSD)
Tags python, information retrieval, language processing, morphological analysis, stemming algorithms, stemmers.
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Development Status 5 - Production/Stable Intended Audience Developers License OSI Approved :: BSD License OSI Approved :: MIT License Natural Language Danish Dutch English Finnish French German Italian Norwegian Portuguese Russian Spanish Swedish Operating System OS Independent Programming Language C Other Python Python :: 2 Python :: 2.6 Python :: 2.7 Python :: 3 Python :: 3.2 Python :: 3.3 Topic Database Internet :: WWW/HTTP :: Indexing/Search Text Processing :: Indexing Text Processing :: Linguistic.
Project description.
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It also provides access to the classic Porter stemming algorithm for english: although this has been superceded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
Project details.
Project links.
Homepage Download.
Statistics.
View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery.
License: BSD License, MIT License (MIT,BSD)
Tags python, information retrieval, language processing, morphological analysis, stemming algorithms, stemmers.

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