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semgram  

Extracting Semantic Motifs from Textual Data
View on CRAN: Click here


Download and install semgram package within the R console
Install from CRAN:
install.packages("semgram")

Install from Github:
library("remotes")
install_github("cran/semgram")

Install by package version:
library("remotes")
install_version("semgram", "0.1.0")



Attach the package and use:
library("semgram")
Maintained by
Oscar Stuhler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-31
Latest Update: 2022-05-31
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) .
How to cite:
Oscar Stuhler (2022). semgram: Extracting Semantic Motifs from Textual Data. R package version 0.1.0, https://cran.r-project.org/web/packages/semgram. Accessed 06 Jun. 2026.
Previous versions and publish date:
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View semgram citation profile
Other R packages that semgram depends, imports, suggests or enhances
Complete documentation for semgram
Functions, R codes and Examples using the semgram R package
Some associated functions: extract_motifs . semgram . 
Some associated R codes: At_1.R . At_2.R . At_3.R . At_4.R . At_5.R . H_1.R . H_10.R . H_2.R . H_3.R . H_4.R . H_5.R . H_6.R . H_7.R . H_8.R . H_9.R . aP_1.R . aP_10.R . aP_11.R . aP_12.R . aP_13.R . aP_14.R . aP_2.R . aP_3.R . aP_4.R . aP_5.R . aP_6.R . aP_7.R . aP_8.R . aP_9.R . a_1.R . a_10.R . a_2.R . a_3.R . a_4.R . a_5.R . a_6.R . a_7.R . a_8.R . a_9.R . be_1.R . be_2.R . be_3.R . be_4.R . be_5.R . be_6.R . be_7.R . be_8.R . extract_motifs.R . retrieve_sentence.R . semgram.R . t_1.R . t_2.R . t_3.R . t_4.R .  Full semgram package functions and examples
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