print.coefficients_textmodel

This is a helper function used in <code>print.summary.textmodel</code>.

internal

textmodel

Scaling models and classifiers for sparse matrix objects representing
textual data in the form of a document-feature matrix. Includes original
implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>,
'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model,
and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish'
model, as well as methods for correspondence analysis, latent semantic analysis,
and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.

Kenneth Benoit

quanteda.textmodels

Scaling Models and Classifiers for Textual Data

Kohei Watanabe

Haiyan Wang

Patrick O. Perry

Benjamin Lauderdale

Johannes Gruber

William Lowe

Vikas Sindhwani

European Research Council 

print.coefficients_textmodel function

<dl><dt>x</dt>
<dd>a coefficients_textmodel object</dd>
<dt>digits</dt>
<dd>minimal number of significant digits, see
<code><a href="/link/print.default()?package=quanteda.textmodels&version=0.9.9" data-mini-rdoc="quanteda.textmodels::print.default()">print.default()</a></code></dd>
<dt>...</dt>
<dd>additional arguments not used</dd></dl>

Arguments

Print methods for textmodel features estimates — print.coefficients_textmodel

<dl>

<dt>x</dt>
<dd>a coefficients_textmodel object</dd>


<dt>digits</dt>
<dd>minimal number of significant digits, see
<code><a href='https://rdrr.io/r/base/print.default.html'>print.default()</a></code></dd>


<dt>...</dt>
<dd>additional arguments not used</dd>

</dl>

Print methods for textmodel features estimates

print.coefficients_textmodel: Print methods for textmodel features estimates

Description

Usage

Arguments