How to Install and Uninstall python3-snowballstemmer.noarch Package on Red Hat Enterprise Linux 9 (RHEL 9)

Last updated: October 07,2024

1. Install "python3-snowballstemmer.noarch" package

Please follow the guidance below to install python3-snowballstemmer.noarch on Red Hat Enterprise Linux 9 (RHEL 9)


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-snowballstemmer.noarch
            
                    
    
    Copied

2. Uninstall "python3-snowballstemmer.noarch" package

Please follow the instructions below to uninstall python3-snowballstemmer.noarch on Red Hat Enterprise Linux 9 (RHEL 9):


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-snowballstemmer.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-snowballstemmer.noarch package on Red Hat Enterprise Linux 9 (RHEL 9)

Last metadata expiration check: 0:03:51 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : python3-snowballstemmer
Version : 1.9.0
Release : 10.el9
Architecture : noarch
Size : 168 k
Source : python-snowballstemmer-1.9.0-10.el9.src.rpm
Repository : ubi-9-codeready-builder
Summary : Provides 16 stemmer algorithms generated from Snowball algorithms
URL : https://pypi.python.org/pypi/snowballstemmer
License : BSD
Description : It includes following language algorithms:
:
: * Danish
: * Dutch
: * English (Standard, Porter)
: * Finnish
: * French
: * German
: * Hungarian
: * Italian
: * Norwegian
: * Portuguese
: * Romanian
: * Russian
: * Spanish
: * Swedish
: * Turkis
:
: This is a pure Python stemming library. If PyStemmer is available, this module
: uses it to accelerate.