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 Small [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_1.1.5.tgz, r-oldrel (arm64): phm_1.1.5.tgz, r-release (x86_64): phm_2.1.2.tgz, r-oldrel (x86_64): phm_2.1.2.tgz
Old sources:	phm archive

Linking:

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