textmodel_doc2vec: Create distributed representation of documents
In wordvector: Word and Document Vector Models

textmodel_doc2vec

R Documentation

Create distributed representation of documents

Create distributed representation of documents as weighted word vectors.

textmodel_doc2vec(
  x,
  model,
  normalize = FALSE,
  weights = 1,
  pattern = NULL,
  group_data = FALSE,
  ...
)

`x`	a quanteda::tokens or quanteda::dfm object.
`model`	a textmodel_wordvector object.
`normalize`	if `TRUE`, normalized word vectors before creating document vectors.
`weights`	weight the word vectors by user-provided values; either a single value or multiple values sorted in the same order as the word vectors.
`pattern`	quanteda::pattern to select words to apply `weights`.
`group_data`	if `TRUE`, apply `dfm_group(x)` before creating document vectors.
`...`	additional arguments passed to quanteda::object2id.

Returns a textmodel_docvector object with the following elements:

`values`	a matrix for 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.