Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.
Version: 0.6.0 Depends: R (≥ 3.5.0) Imports: tm, quanteda, parallel, glmnet, stringr, english, textstem, SnowballC, stringi Suggests: knitr, rmarkdown, testthat Published: 2024-01-23 DOI: 10.32614/CRAN.package.doc2concrete Author: Mike Yeomans Maintainer: Mike Yeomans <mk.yeomans at gmail.com> License: MIT + file LICENSE NeedsCompilation: no Materials: README CRAN checks: doc2concrete results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=doc2concrete to link to this page.
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