Man pages for doc2vec
Distributed Representations of Sentences, Documents and Topics
| 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... |
| paragraph2vec | Train a paragraph2vec also known as doc2vec model on text |
| paragraph2vec_similarity | Similarity between document / word vectors as used in... |
| 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 |
