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 |