Package: r-cran-lexrankr (0.5.2-2)

[ Source: r-cran-lexrankr  ]

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]

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  dep: libc6 (>= 2.17) [arm64, ppc64el]

  dep: libc6 (>= 2.4) [not amd64, arm64, ppc64el]

• dep: libgcc-s1 (>= 3.0) [not armel, armhf]

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  dep: libgcc-s1 (>= 3.5) [armel, armhf]

• dep: libstdc++6 (>= 5.2)

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Architecture	Package Size	Installed Size	Files
amd64	102.4 kB	235.0 kB	[list of files]
arm64	100.6 kB	231.0 kB	[list of files]
armel	100.3 kB	226.0 kB	[list of files]
armhf	99.7 kB	210.0 kB	[list of files]
i386	103.1 kB	233.0 kB	[list of files]
mips64el	100.9 kB	243.0 kB	[list of files]
mipsel	100.8 kB	233.0 kB	[list of files]
ppc64el	103.5 kB	295.0 kB	[list of files]
s390x	101.2 kB	238.0 kB	[list of files]