cosine_similar_words: Cosine Similar Words
In news-r/word2vec.r: Implementation of 'Julia' 'Word2vec'

Return the top n (by default n = 10) words similar to word.

cosine_similar_words(model, word, n = 10L)

## S3 method for class 'wordvectors'
cosine_similar_words(model, word, n = 10L)

`model`	A model as returned by `word_vectors`.
`word`	The word to extract.
`n`	Number of neightbours to return.

## 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)

# words similar to macbeth
cosine_similar_words(model, "macbeth", 20L)

## End(Not run)