How to Install and Uninstall python3-stemmer Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 13,2024

1. Install "python3-stemmer" package

Here is a brief guide to show you how to install python3-stemmer on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-stemmer
            
                    
    
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2. Uninstall "python3-stemmer" package

Here is a brief guide to show you how to uninstall python3-stemmer on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                python3-stemmer
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-stemmer package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-stemmer
Architecture: amd64
Version: 2.0.1+dfsg-1
Priority: optional
Section: universe/python
Source: pystemmer
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 101
Depends: python3 (<< 3.9), python3 (>= 3.8~), libc6 (>= 2.4), libstemmer0d (>= 0+svn527)
Filename: pool/universe/p/pystemmer/python3-stemmer_2.0.1+dfsg-1_amd64.deb
Size: 32472
MD5sum: ae905da20115d7b58488c07a12bbd739
SHA1: 26dc0a17d5fcd5a006623e23942716b5c27ad48d
SHA256: 570a68eaf5f4affb28d49fe5d05bed7122d464648133ccbb0dc25b6e42df4aa9
SHA512: 4edf7b1b87ca977504a7106c89411d5ab1d606a82dccc33b48aa8c0047ce4581b2baac41545cddd70359c55b63ac1fa09eaa3902e63306956ecaaaa08c41e11d
Homepage: https://snowballstem.org/
Description-en: Python 3 bindings for libstemmer - snowball 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".
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PyStemmer provides algorithms for several (mainly European) languages, by
wrapping the libstemmer library from the Snowball project in a Python 3
module.
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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.
Description-md5: 2aeb40ffafee5b1b957566fa3f8bd88f