Measuring Concreteness in Natural Language

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.


Reference manual

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0.5.4 by Mike Yeomans, 8 months ago

Browse source code at

Authors: Mike Yeomans

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports tm, quanteda, parallel, glmnet, stringr, english, textstem, SnowballC, stringi

Suggests knitr, rmarkdown, testthat

See at CRAN