dem-class

The <code>dem class</code> is <code>dgCMatrix class</code> matrix with additional slots:

internal

A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte'
embeddings approach developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses about covariate effects on embeddings using
the regression framework developed by Rodriguez et al. (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.

Pedro L. Rodriguez

conText

'a la Carte' on Text (ConText) Embedding Regression

Arthur Spirling

Brandon Stewart

Christopher Barrie

dem-class function

<dl>
<dt><code>docvars</code></dt>
<dd>document covariates, inherited from dfm and corpus
subset to embeddable documents</dd></dl>
<dt><code>features</code></dt>
<dd>features used in computing the document embeddings</dd>

Slots

Virtual class "dem" for a document-embedding matrix — dem-class

<dl>
<dt><code>docvars</code></dt>
<dd>document covariates, inherited from dfm and corpus
subset to embeddable documents</dd>


<dt><code>features</code></dt>
<dd>features used in computing the document embeddings</dd>


</dl>

dem-class: Virtual class "dem" for a document-embedding matrix

Description

Arguments

Slots

See Also