The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A framework for extracting semantic motifs around entities in textual data. It implements an entity-centered semantic grammar that distinguishes six classes of motifs: actions of an entity, treatments of an entity, agents acting upon an entity, patients acted upon by an entity, characterizations of an entity, and possessions of an entity. Motifs are identified by applying a set of extraction rules to a parsed text object that includes part-of-speech tags and dependency annotations - such as those generated by 'spacyr'. For further reference, see: Stuhler (2022) <doi:10.1177/00491241221099551>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.3) |
Imports: | data.table, rsyntax (≥ 0.1.2), stringr |
Published: | 2022-05-31 |
DOI: | 10.32614/CRAN.package.semgram |
Author: | Oscar Stuhler |
Maintainer: | Oscar Stuhler <semgram.r at gmail.com> |
BugReports: | https://github.com/omstuhler/semgram/issues |
License: | GPL-3 |
URL: | https://github.com/omstuhler/semgram |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | semgram results |
Reference manual: | semgram.pdf |
Package source: | semgram_0.1.0.tar.gz |
Windows binaries: | r-devel: semgram_0.1.0.zip, r-release: semgram_0.1.0.zip, r-oldrel: semgram_0.1.0.zip |
macOS binaries: | r-release (arm64): semgram_0.1.0.tgz, r-oldrel (arm64): semgram_0.1.0.tgz, r-release (x86_64): semgram_0.1.0.tgz, r-oldrel (x86_64): semgram_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=semgram to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.