CRAN/E | textrank

textrank

Summarize Text by Ranking Sentences and Finding Keywords

Installation

About

The 'textrank' algorithm is an extension of the 'Pagerank' algorithm for text. The algorithm allows to summarize text by calculating how sentences are related to one another. This is done by looking at overlapping terminology used in sentences in order to set up links between sentences. The resulting sentence network is next plugged into the 'Pagerank' algorithm which identifies the most important sentences in your text and ranks them. In a similar way 'textrank' can also be used to extract keywords. A word network is constructed by looking if words are following one another. On top of that network the 'Pagerank' algorithm is applied to extract relevant words after which relevant words which are following one another are combined to get keywords. More information can be found in the paper from Mihalcea, Rada & Tarau, Paul (2004) .

github.com/bnosac/textrank

Key Metrics

Version 0.3.1
Published 2020-10-12 1300 days ago
Needs compilation? no
License MPL-2.0
CRAN checks textrank results

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Maintainer

Maintainer

Jan Wijffels

jwijffels@bnosac.be

Authors

Jan Wijffels

aut / cre / cph

BNOSAC

cph

Material

README
NEWS
Reference manual
Package source

In Views

NaturalLanguageProcessing

Vignettes

Textrank for summarizing text

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

textrank archive

Imports

utils
data.table ≥ 1.9.6
igraph
digest

Suggests

textreuse
knitr
rmarkdown
udpipe ≥ 0.2