How to Install and Uninstall python3-stemmer Package on Kali Linux

Last updated: December 23,2024

1. Install "python3-stemmer" package

Learn how to install python3-stemmer on Kali Linux


    
        
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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

This is a short guide on how to uninstall python3-stemmer on Kali Linux:


    
        
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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 Kali Linux

Package: python3-stemmer
Source: pystemmer (2.2.0.1-2)
Version: 2.2.0.1-2+b1
Installed-Size: 153
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), libc6 (>= 2.4), libstemmer0d (>= 2.1)
Size: 41168
SHA256: 1b7d41fda71e6075a6efc959be2bb7d76fa580dd98995a86b27a63c42294d242
SHA1: 700e0d5c75cd54877da662e1558a32f7171a2bc7
MD5sum: 2e2c137a7251d1d2537b21ba3a67a10c
Description: 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although this has been superseded by an improved algorithm, the original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:
Multi-Arch: same
Homepage: https://snowballstem.org/
Tag: devel::lang:python, devel::library, field::linguistics,
implemented-in::c, role::devel-lib, role::program, works-with::text
Section: python
Priority: optional
Filename: pool/main/p/pystemmer/python3-stemmer_2.2.0.1-2+b1_amd64.deb