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[ 原始碼: r-cran-lexrankr  ]

套件: 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.

其他與 r-cran-lexrankr 有關的套件

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  • dep: libc6 (>= 2.14) [amd64]
    GNU C Library: Shared libraries
    同時作為一個虛擬套件由這些套件提供: libc6-udeb
    dep: libc6 (>= 2.4) [armhf]
  • dep: libgcc-s1 (>= 3.0) [amd64]
    GCC support library
    dep: libgcc-s1 (>= 3.5) [armhf]
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-3.5
    本虛擬套件由這些套件提供: r-base-core
  • dep: r-base-core (>= 3.6.2.20200221-1build1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-igraph
    GNU R network analysis and visualization
  • dep: r-cran-rcpp
    GNU R package for Seamless R and C++ Integration
  • dep: r-cran-snowballc
    Snowball stemmers based on the C libstemmer UTF-8 library

下載 r-cran-lexrankr

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硬體架構 套件大小 安裝後大小 檔案
amd64 100.1 kB235 kB [文件列表]
armhf 98.0 kB207 kB [文件列表]