cosine.Rd
Return the position of n
(by default n = 10
) neighbors
of word
and their cosine similarities.
cosine(model, word, n = 10L) # S3 method for wordvectors cosine(model, word, n = 10L)
model | A model as returned by |
---|---|
word | The word to extract. |
n | Number of neightbours to return. |
A tibble of word index
and their cosine
.
# NOT RUN { # setup word2vec Julia dependency setup_word2vec() # sample corpus data("macbeth", package = "word2vec.r") # train model model_path <- word2vec(macbeth) # get word vectors model <- word_vectors(model_path) # neighbours of macbeth and their cosine cosine(model, "macbeth", 20L) # }