fem-class

The <code>fem 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) <doi:10.48550/arXiv.1805.05388> and evaluate hypotheses about covariate effects on embeddings using
the regression framework developed by Rodriguez et al. (2021)<doi:10.1017/S0003055422001228>. New version of the package applies a new estimator to measure the distance between word embeddings as described in Green et al. (2025) <doi:10.1017/pan.2024.22>.

Sofia Avila

conText

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

Pedro L. Rodriguez

Arthur Spirling

Brandon Stewart

Christopher Barrie

fem-class function

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

Slots

Virtual class "fem" for a feature-embedding matrix — fem-class

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


</dl>

fem-class: Virtual class "fem" for a feature-embedding matrix

Description

Arguments

Slots

See Also