analogy: Analogy
In news-r/word2vec.r: Implementation of 'Julia' 'Word2vec'

Compute the analogy similarity between two lists of words. The positions and the similarity values of the top n similar words will be returned. For example: "king - man + woman =~ queen"

analogy(model, pos, neg, n = 5L)

## S3 method for class 'wordvectors'
analogy(model, pos, neg, n = 5L)

analogy_words(model, pos, neg, n = 5L)

## S3 method for class 'wordvectors'
analogy_words(model, pos, neg, n = 5L)

`model`	A model as returned by `word_vectors`.
`pos, neg`	Positive and negative words.
`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)

# "king - man + woman =~ queen"
analogy_words(model, pos = list("king"), neg = list("malcolme"), 8L)

## End(Not run)