How to Install and Uninstall libstemmer.x86_64 Package on Red Hat Enterprise Linux 9 (RHEL 9)

Last updated: November 27,2024

1. Install "libstemmer.x86_64" package

Please follow the guidance below to install libstemmer.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9)


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                libstemmer.x86_64
            
                    
    
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2. Uninstall "libstemmer.x86_64" package

This tutorial shows how to uninstall libstemmer.x86_64 on Red Hat Enterprise Linux 9 (RHEL 9):


    
        
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                sudo dnf remove
            
                        
                libstemmer.x86_64
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the libstemmer.x86_64 package on Red Hat Enterprise Linux 9 (RHEL 9)

Last metadata expiration check: 1:03:39 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : libstemmer
Version : 0
Release : 18.585svn.el9
Architecture : x86_64
Size : 85 k
Source : libstemmer-0-18.585svn.el9.src.rpm
Repository : ubi-9-appstream-rpms
Summary : C stemming algorithm library
URL : http://snowball.tartarus.org
License : BSD
Description : Snowball stemming algorithms for use in Information Retrieval Snowball
: 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".
:
: Snowball provides algorithms for several (mainly European) languages.
: 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: English: although this has been superseded by an improved algorithm,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.