empson: empson: Create vector-space models from 'tei2r'
In michaelgavin/empson: Vector-space modeling for historical documents
Description
The empson package builds on tei2r to create matrix
representations of document collections.
Author(s)
Author:
Michael Gavin
Basic operations:
-
buildMatrix: Converts documents to matrix format
-
similarity: Identifies semantic relationships among terms
-
similarity_map: Maps conceptual structures
Sample Data:
-
eebo: A large matrix built from the EEBO-TCP corpus, representing
all texts from 1640 to 1699.
michaelgavin/empson documentation built on May 22, 2019, 9:50 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The empson package builds on tei2r to create matrix
representations of document collections.
Author(s)
Author: Michael Gavin
Basic operations:
-
buildMatrix: Converts documents to matrix format -
similarity: Identifies semantic relationships among terms -
similarity_map: Maps conceptual structures
Sample Data:
-
eebo: A large matrix built from the EEBO-TCP corpus, representing all texts from 1640 to 1699.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.