build_dem

build a <code>dem-class</code> object

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

build_dem function

<dl><dt>Class</dt>
<dd>defines tha class of this object (fixed)</dd>
<dt>x_dem</dt>
<dd>a <code>dgCMatrix class</code> matrix</dd>
<dt>docvars</dt>
<dd>document covariates, inherited from dfm and corpus,
subset to embeddable documents</dd>
<dt>features</dt>
<dd>features used in computing the embeddings</dd>
<dt>Dimnames</dt>
<dd>row (documents) and columns (NULL) names</dd></dl>

Arguments

build a dem-class object — build_dem

<dl>

<dt>Class</dt>
<dd>defines tha class of this object (fixed)</dd>


<dt>x_dem</dt>
<dd>a <code>dgCMatrix class</code> matrix</dd>


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


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


<dt>Dimnames</dt>
<dd>row (documents) and columns (NULL) names</dd>

</dl>

build_dem: build a `dem-class` object

Description

Usage

Arguments