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Package: r-cran-lexrankr (0.5.2-1build1)

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.

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    dep: libc6 (>= 2.4) [armhf]
  • dep: libgcc-s1 (>= 3.0) [amd64]
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    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libstdc++6 (>= 5.2)
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  • dep: r-api-3.5
    virtual package provided by r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1build1)
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  • dep: r-cran-igraph
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  • dep: r-cran-rcpp
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  • dep: r-cran-snowballc
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Architecture Package Size Installed Size Files
amd64 100.1 kB235 kB [list of files]
armhf 98.0 kB207 kB [list of files]