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doc2concrete
View on CRAN: Click
here
Download and install doc2concrete package within the R console
Install from CRAN:
install.packages("doc2concrete")
Install from Github:
library("remotes")
install_github("cran/doc2concrete") Install by package version:
library("remotes")
install_version("doc2concrete", "0.6.0") Attach the package and use:
library("doc2concrete")
Maintained by
Mike Yeomans
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-19
Latest Update: 2024-01-23
Description:
Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) , 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) ) as well as two pre-trained models for the feedback and plan-making domains.
How to cite:
Mike Yeomans (2020). doc2concrete: Measuring Concreteness in Natural Language. R package version 0.6.0, https://cran.r-project.org/web/packages/doc2concrete. Accessed 25 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for doc2concrete
Functions, R codes and Examples using
the doc2concrete R package
Some associated functions: adviceModel . adviceNgrams . bootstrap_list . cleanpunct . cleantext . concDict . ctxpand . doc2concrete . doublestacker . feedback_dat . mturk_list . ngramTokens . overlaps . planModel . planNgrams . stemexcept . stemmer . textformat . uk2us . usWords . vocabmatcher .
Some associated R codes: concDict.R . data.R . doc2concrete.R . domainModels.R . ngramComponents.R . ngramTokens.R . zzz.R . Full doc2concrete package functions and examples
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