textmodel_doc2vec

Create distributed representation of documents as weighted word vectors.

Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.

Kohei Watanabe

wordvector

Word and Document Vector Models

Jan Wijffels

BNOSAC 

Max Fomichev

textmodel_doc2vec function

<dl><dt>x</dt>
<dd>a quanteda::tokens object.</dd>
<dt>model</dt>
<dd>a textmodel_wordvector object.</dd>
<dt>group_data</dt>
<dd>if <code>TRUE</code>, apply <code>dfm_group(x)</code> before creating document vectors.</dd></dl>

Arguments

Create distributed representation of documents — textmodel_doc2vec

<dl>

<dt>x</dt>
<dd>a quanteda::tokens object.</dd>


<dt>model</dt>
<dd>a textmodel_wordvector object.</dd>


<dt>group_data</dt>
<dd>if <code>TRUE</code>, apply <code>dfm_group(x)</code> before creating document vectors.</dd>

</dl>

textmodel_doc2vec: Create distributed representation of documents

Description

Usage

Value

Arguments