CRAN/E | doc2concrete

doc2concrete

Measuring Concreteness in Natural Language

Installation

About

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.

Key Metrics

Version 0.6.0
R ≥ 3.5.0
Published 2024-01-23 106 days ago
Needs compilation? no
License MIT
License File
CRAN checks doc2concrete results

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Maintainer

Maintainer

Mike Yeomans

mk.yeomans@gmail.com

Authors

Mike Yeomans

Material

README
Reference manual
Package source

Vignettes

doc2concrete

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

doc2concrete archive

Depends

R ≥ 3.5.0

Imports

tm
quanteda
parallel
glmnet
stringr
english
textstem
SnowballC
stringi

Suggests

knitr
rmarkdown
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