How to Install and Uninstall r-cran-lexrankr Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "r-cran-lexrankr" package

Please follow the guidance below to install r-cran-lexrankr on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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 tutorial shows how to uninstall r-cran-lexrankr on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-lexrankr
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-lexrankr package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-lexrankr
Architecture: amd64
Version: 0.5.2-1build2
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: 234
Depends: r-base-core (>= 4.0.0.20200528-1), 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_0.5.2-1build2_amd64.deb
Size: 104436
MD5sum: 2a5e3e15327a2b4a82c51c2ae9afd533
SHA1: 6b68e96bb83153f72b18be21ee8100bcdadaf27c
SHA256: df3e3248b2abf90141c2638f382346959238f448fb143786929d4757315afbf6
SHA512: e29e9d27d6788115a9ae44fb98bf823bad2f626dda743ff5fc1dc455101955a0d1b4a7ed2cc6e4077e8c070b14fe9c58aebb917563abb770dc7666c8620eb42b
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