Package: doc2concrete
Type: Package
Title: Measuring Concreteness in Natural Language
Version: 0.6.0
Author: Mike Yeomans
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/myeomans/doc2concrete
Depends: R (>= 3.5.0)
Imports: tm, quanteda, parallel, glmnet, stringr, english, textstem,
        SnowballC, stringi
RoxygenNote: 7.3.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Config/pak/sysreqs: libicu-dev libxml2-dev
Repository: https://myeomans.r-universe.dev
Date/Publication: 2024-01-25 11:05:44 UTC
RemoteUrl: https://github.com/myeomans/doc2concrete
RemoteRef: HEAD
RemoteSha: db47b81370c5ffcf776531eba1bac4ffc23085ac
NeedsCompilation: no
Packaged: 2026-06-13 06:51:15 UTC; root