as.textmodel_doc2vec: Create distributed representation of documents

In wordvector: Word and Document Vector Models

Create distributed representation of documents

Description

Create distributed representation of documents as weighted word vectors.

Usage

as.textmodel_doc2vec(x, model, normalize = FALSE, group_data = FALSE, ...)

Arguments

x	a quanteda::tokens or quanteda::dfm object.
model	a textmodel_wordvector object.
normalize	if TRUE, normalized word vectors before creating document vectors.
group_data	if TRUE, apply dfm_group(x) before creating document vectors.
...	additional arguments passed to quanteda::object2id.

Value

Returns a textmodel_docvector object with the following elements:

values	a list of matrices for word and document vectors.
dim	the size of the document vectors.
concatenator	the concatenator in x.
docvars	document variables copied from x.
normalize	if the document vectors are normalized.
call	the command used to execute the function.
version	the version of the wordvector package.

wordvector documentation built on July 28, 2026, 5:09 p.m.