doc2concrete

cranv0.6.0

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 Brysba

License MIT + file LICENSE0 versions1 maintainers9 deps97 weekly dl
https://CRAN.R-project.org/package=doc2concrete
33
/ 100
Health
use with caution

[email protected] low health (33/100) — consider alternatives

  • Low health score (33/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/doc2concrete

First published · 2024-01-23 14:03:20

Last updated · 2024-01-23T11:32:52+00:00