Binary package “r-cran-lexrankr” in ubuntu focal
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.
Source package
Published versions
- r-cran-lexrankr 0.5.2-1build1 in amd64 (Proposed)
- r-cran-lexrankr 0.5.2-1build1 in amd64 (Release)
- r-cran-lexrankr 0.5.2-1build1 in arm64 (Proposed)
- r-cran-lexrankr 0.5.2-1build1 in arm64 (Release)
- r-cran-lexrankr 0.5.2-1build1 in armhf (Proposed)
- r-cran-lexrankr 0.5.2-1build1 in armhf (Release)
- r-cran-lexrankr 0.5.2-1build1 in ppc64el (Proposed)
- r-cran-lexrankr 0.5.2-1build1 in ppc64el (Release)
- r-cran-lexrankr 0.5.2-1build1 in riscv64 (Release)
- r-cran-lexrankr 0.5.2-1build1 in s390x (Proposed)
- r-cran-lexrankr 0.5.2-1build1 in s390x (Release)