Package: r-cran-lexrankr (0.5.0-2)

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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 (>= 2.14) [amd64]

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb

dep: libc6 (>= 2.17) [arm64]

dep: libc6 (>= 2.4) [armhf, i386]
dep: libgcc1 (>= 1:3.0) [not armhf]

GCC support library

dep: libgcc1 (>= 1:3.5) [armhf]
dep: libstdc++6 (>= 5.2)

GNU Standard C++ Library v3
dep: r-api-3.5

virtual package provided by r-base-core
dep: r-base-core (>= 3.5.0-5)

GNU R core of statistical computation and graphics system
dep: r-cran-igraph

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dep: r-cran-rcpp

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dep: r-cran-snowballc

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sug: r-cran-testthat

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Architecture	Package Size	Installed Size	Files
amd64	100.3 kB	222.0 kB	[list of files]
arm64	98.5 kB	222.0 kB	[list of files]
armhf	97.5 kB	202.0 kB	[list of files]
i386	101.3 kB	221.0 kB	[list of files]