find_rejection

"Reject" each word in a word embedding matrix of \(D\) dimension
from a vector of \(D\) dimensions, extracted from the same
embedding space. The vector can be a single word, or a concept
vector obtained from <code>get_centroid()</code>, <code>get_direction()</code>,
or <code>get_regions()</code>.

This is a collection of functions optimized for working with
with various kinds of text matrices. Focusing on
the text matrix as the primary object - represented
either as a base R dense matrix or a 'Matrix' package sparse
matrix - allows for a consistent and intuitive interface
that stays close to the underlying mathematical foundation
of computational text analysis. In particular, the package
includes functions for working with word embeddings,
text networks, and document-term matrices. Methods developed in
Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>,
Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>,
Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and
Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.

Dustin Stoltz

text2map

R Tools for Text Matrices, Embeddings, and Networks

Marshall Taylor

find_rejection function

<dl><dt>wv</dt>
<dd>Matrix of word embedding vectors (a.k.a embedding model)
with rows as words.</dd>
<dt>vec</dt>
<dd>Vector extracted from the embeddings</dd></dl>

Arguments

Find the 'rejection matrix' from a semantic vector — find_rejection

<dl>

<dt>wv</dt>
<dd>Matrix of word embedding vectors (a.k.a embedding model)
with rows as words.</dd>


<dt>vec</dt>
<dd>Vector extracted from the embeddings</dd>

</dl>

find_rejection: Find the 'rejection matrix' from a semantic vector

Description

Usage

Value

Arguments