Create distributed representation of documents — as.textmodel_doc2vec • wordvector

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.