CRAN/E | semgram

semgram

Extracting Semantic Motifs from Textual Data

Installation

About

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.

github.com/omstuhler/semgram
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Key Metrics

Version 0.1.0
R ≥ 3.5.3
Published 2022-05-31 856 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Oscar Stuhler

Authors

Oscar Stuhler

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5.3

Imports

data.table
rsyntax ≥ 0.1.2
stringr