Type: Package
Package: semgram
Title: Extracting Semantic Motifs from Textual Data
Version: 0.1.1
Authors@R: 
	person(given = "Oscar", 
			family = "Stuhler", 
            email = "semgram.r@gmail.com", 
            role = c("aut", "cre"),
            comment = c(ORCID = "0000-0001-7391-1743"))
Description: 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>.
URL: https://github.com/omstuhler/semgram
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/omstuhler/semgram/issues
RoxygenNote: 7.1.2
Depends: R (>= 3.5.3)
Imports: data.table, rsyntax (>= 0.1.4), stringr
Author: Oscar Stuhler [aut, cre]
        (<https://orcid.org/0000-0001-7391-1743>)
Maintainer: Oscar Stuhler <semgram.r@gmail.com>
Config/pak/sysreqs: libglpk-dev libicu-dev libpng-dev libxml2-dev
Repository: https://omstuhler.r-universe.dev
Date/Publication: 2022-10-03 00:15:12 UTC
RemoteUrl: https://github.com/omstuhler/semgram
RemoteRef: HEAD
RemoteSha: c572fcc8e3809dde37d119d953be37bc4673d61b
NeedsCompilation: no
Packaged: 2026-10-07 10:34:15 UTC; root