# Distributed Representations of Sentences, Documents and Topics

## Documentation for package ‘doc2vec’ version 0.2.0

- DESCRIPTION file.

## Help Pages

as.matrix.paragraph2vec | Get the document or word vectors of a paragraph2vec model
be_parliament_2020 | Corpus with Questions asked in the Belgium Federal Parliament in 2020
paragraph2vec | Train a paragraph2vec also known as doc2vec model on text
paragraph2vec_similarity | Similarity between document / word vectors as used in paragraph2vec
predict.paragraph2vec | Predict functionalities for a paragraph2vec model
read.paragraph2vec | Read a binary paragraph2vec model from disk
summary.top2vec | Get summary information of a top2vec model
top2vec | Distributed Representations of Topics
txt_count_words | Count the number of spaces occurring in text
update.top2vec | Update a Top2vec model
write.paragraph2vec | Save a paragraph2vec model to disk