Package: doc2concrete 0.6.0

doc2concrete: Measuring Concreteness in Natural Language

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.

Authors:Mike Yeomans

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doc2concrete.pdf |doc2concrete.html
doc2concrete/json (API)

# Install 'doc2concrete' in R:
install.packages('doc2concrete', repos = c('https://myeomans.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/myeomans/doc2concrete/issues

Datasets:

On CRAN:

5.45 score 11 stars 1 packages 17 scripts 321 downloads 2 exports 60 dependencies

Last updated 10 months agofrom:db47b81370. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:doc2concretengramTokens

Dependencies:BHclicodetoolscpp11data.tabledigestdplyrdttenglishfansifastmatchforeachgenericsglmnetgluehunspellISOcodesiteratorsjsonlitekoRpuskoRpus.lang.enlatticelexiconlifecyclemagrittrMatrixmgsubNLPpillarpkgconfigpurrrqdapRegexquantedaR6RcppRcppEigenrlangshapeslamSnowballCstopwordsstringistringrsurvivalsyllysylly.ensyuzhettextcleantextshapetextstemtibbletidyrtidyselecttmutf8vctrswithrxml2yamlzoo

doc2concrete

Rendered fromdoc2concrete.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2021-04-25
Started: 2020-01-19