How to Install and Uninstall r-cran-lexrankr Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "r-cran-lexrankr" package

In this section, we are going to explain the necessary steps to install r-cran-lexrankr on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-lexrankr
            
                    
    
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2. Uninstall "r-cran-lexrankr" package

This guide covers the steps necessary to uninstall r-cran-lexrankr on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-lexrankr
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-lexrankr package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-lexrankr
Architecture: amd64
Version: 0.5.2-2
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 238
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-snowballc, r-cran-igraph, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/universe/r/r-cran-lexrankr/r-cran-lexrankr_0.5.2-2_amd64.deb
Size: 105016
MD5sum: d2812dc67f989bd2165860de13f66a82
SHA1: bc3fdac70e2a36c3317b57630f6b75dbf70c4375
SHA256: 55a3a4e5402f5edfb07ba1aeab36bb69360be51a69c19b521208e471772f2229
SHA512: 0c4ecedeaf1744984f475148c0c4e9f16247ca9237b7dc2884e9232042a58e847087eaddc4350503cc2a97f9af965c41d8f5b1be3cea6e8dbbae8cb8b2302ae9
Homepage: https://cran.r-project.org/package=lexRankr
Description-en: extractive summarization of text with the LexRank algorithm
An R implementation of the LexRank algorithm implementing stochastic
graph-based method for computing relative importance of textual units
for Natural Language Processing. The technique on the problem
of Text Summarization (TS) is tested. Extractive TS relies on the concept of
sentence salience to identify the most important sentences in a
document or set of documents. Salience is typically defined in terms of
the presence of particular important words or in terms of similarity to
a centroid pseudo-sentence.
Description-md5: d03408345328c547da9bb6310e0272cd