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[ 源代码: r-cran-lexrankr  ]

软件包:r-cran-lexrankr(0.5.2-1)

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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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硬件架构 软件包大小 安装后大小 文件
amd64 100.7 kB231.0 kB [文件列表]
arm64 98.9 kB227.0 kB [文件列表]
armel 97.7 kB219.0 kB [文件列表]
armhf 97.3 kB207.0 kB [文件列表]
i386 100.4 kB226.0 kB [文件列表]
mips64el 98.9 kB236.0 kB [文件列表]
mipsel 97.8 kB225.0 kB [文件列表]
ppc64el 101.7 kB295.0 kB [文件列表]
s390x 99.1 kB231.0 kB [文件列表]