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 |
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 |
Reference manual: | phm.html , phm.pdf |
Vignettes: |
phm-intro (source, R code) |
Package source: | phm_2.1.2.tar.gz |
Windows binaries: | r-devel: phm_1.1.5.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 |
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