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

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 (>= 2.17)
    GNU C Library: Shared libraries
    ayrıca şunun tarafından sağlanan bir sanal paket libc6-udeb
  • dep: libgcc-s1 (>= 3.0)
    GCC support library
  • dep: libstdc++6 (>= 5.2)
    GNU Standard C++ Library v3
  • dep: r-api-4.0
    sanal paketi sağlayan r-base-core
  • dep: r-base-core (>= 4.0.2-1build1)
    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

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arm64 100,7 kB230 kB [dosya listesi]