as.matrix.csr.dfm

Utility to convert a dfm into a <a href="/link/matrix.csr?package=quanteda.textmodels&version=0.9.7" data-mini-rdoc="quanteda.textmodels::matrix.csr">matrix.csr</a> from the SparseM package.

internal

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 

as.matrix.csr.dfm function

<dl><dt>x</dt>
<dd>input dfm</dd>
<dt>...</dt>
<dd>unused</dd></dl>

Arguments

Utility to convert a dfm into a <a href='https://rdrr.io/pkg/SparseM/man/SparseM.ontology.html'>matrix.csr</a> from the SparseM package.

convert a dfm into a matrix.csr from SparseM package — as.matrix.csr.dfm

<dl>

<dt>x</dt>
<dd>input dfm</dd>


<dt>...</dt>
<dd>unused</dd>

</dl>

as.matrix.csr.dfm: convert a dfm into a matrix.csr from SparseM package

Description

Usage

Value

Arguments