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doc2concrete  

Measuring Concreteness in Natural Language
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
[Scholar Profile | Author Map]
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 10 May. 2025.
Previous versions and publish date:
0.4.6 (2020-06-19 13:00), 0.5.0 (2020-11-16 13:50), 0.5.2 (2021-01-13 14:10), 0.5.3 (2021-04-25 23:10), 0.5.4 (2021-05-17 22:40), 0.5.6 (2022-06-28 21:20)
Other packages that cited doc2concrete R package
View doc2concrete citation profile
Other R packages that doc2concrete depends, 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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