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textrank
View on CRAN: Click
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Download and install textrank package within the R console
Install from CRAN:
install.packages("textrank")
Install from Github:
library("remotes")
install_github("cran/textrank") Install by package version:
library("remotes")
install_version("textrank", "0.3.1") Attach the package and use:
library("textrank")
Maintained by
Jan Wijffels
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All associated links for this package
First Published: 2017-11-22
Latest Update: 2020-10-12
Description:
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) <https://www.aclweb.org/anthology/W04-3252/>.
How to cite:
Jan Wijffels (2017). textrank: Summarize Text by Ranking Sentences and Finding Keywords. R package version 0.3.1, https://cran.r-project.org/web/packages/textrank. Accessed 15 Jul. 2026.
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Complete documentation for textrank
Functions, R codes and Examples using
the textrank R package
Some associated functions: joboffer . summary.textrank_sentences . textrank_candidates_all . textrank_candidates_lsh . textrank_jaccard . textrank_keywords . textrank_sentences .
Some associated R codes: data.R . pkg.R . textrank.R . Full textrank package functions and examples
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