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phm: Phrase Mining

Functions to extract and handle commonly occurring principal phrases obtained from collections of texts. Major speed improvements - core functions rewritten in C++ for faster phrase-document parsing, clustering, and text distance computations. Based on, Small, E., & Cabrera, J. (2025). Principal phrase mining, an automated method for extracting meaningful phrases from text. International Journal of Computers and Applications, 47(1), 84–92.

Version:2.1.2
Imports:data.table (≥ 1.14.2),tm (≥ 0.7-8),Matrix (≥ 1.4-1),smallstuff (≥ 1.0.1),NLP (≥ 0.2-1),Rcpp
LinkingTo:Rcpp
Suggests:knitr,rmarkdown
Published:2025-09-30
DOI:10.32614/CRAN.package.phm
Author:Ellie SmallORCID iD [aut, cre]
Maintainer:Ellie Small <ellie_small at yahoo.com>
License:GPL-3
URL:https://doi.org/10.1080/1206212X.2024.2448494
NeedsCompilation:yes
Citation:phm citation info
Materials:NEWS
CRAN checks:phm results

Documentation:

Reference manual:phm.html ,phm.pdf
Vignettes:phm-intro (source,R code)

Downloads:

Package source: phm_2.1.2.tar.gz
Windows binaries: r-devel:phm_2.1.2.zip, r-release:phm_2.1.2.zip, r-oldrel:phm_2.1.2.zip
macOS binaries: r-release (arm64):phm_2.1.2.tgz, r-oldrel (arm64):phm_2.1.2.tgz, r-release (x86_64):phm_2.1.2.tgz, r-oldrel (x86_64):phm_2.1.2.tgz
Old sources: phm archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=phmto link to this page.


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