How to Install and Uninstall snowball.x86_64 Package on Fedora 39

Last updated: October 10,2024

1. Install "snowball.x86_64" package

Please follow the guidelines below to install snowball.x86_64 on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                snowball.x86_64
            
                    
    
    Copied

2. Uninstall "snowball.x86_64" package

Please follow the step by step instructions below to uninstall snowball.x86_64 on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                snowball.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the snowball.x86_64 package on Fedora 39

Last metadata expiration check: 0:39:59 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : snowball
Version : 2.2.0
Release : 7.fc39
Architecture : x86_64
Size : 117 k
Source : snowball-2.2.0-7.fc39.src.rpm
Repository : fedora
Summary : Snowball compiler and stemming algorithms
URL : https://snowballstem.org/
License : BSD-3-Clause
Description : Snowball is a small string processing language for creating stemming
: algorithms for use in Information Retrieval, plus a collection of
: stemming algorithms implemented using it.
:
: Snowball was originally designed and built by Martin Porter. Martin
: retired from development in 2014 and Snowball is now maintained as a
: community project. Martin originally chose the name Snowball as a
: tribute to SNOBOL, the excellent string handling language from the
: 1960s. It now also serves as a metaphor for how the project grows by
: gathering contributions over time.
:
: The Snowball compiler translates a Snowball program into source code in
: another language - currently Ada, ISO C, C#, Go, Java, Javascript,
: Object Pascal, Python and Rust are supported.
:
: What is Stemming?
:
: Stemming maps different forms of the same word to a common "stem" - for
: example, the English stemmer maps connection, connections, connective,
: connected, and connecting to connect. So a search for connected would
: also find documents which only have the other forms.
:
: This stem form is often a word itself, but this is not always the case
: as this is not a requirement for text search systems, which are the
: intended field of use. We also aim to conflate words with the same
: meaning, rather than all words with a common linguistic root (so awe and
: awful don't have the same stem), and over-stemming is more problematic
: than under-stemming so we tend not to stem in cases that are hard to
: resolve. If you want to always reduce words to a root form and/or get a
: root form which is itself a word then Snowball's stemming algorithms
: likely aren't the right answer.