Analogy

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

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

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

Arguments

model	A model as returned by word_vectors.
pos, neg	Positive and negative words.
n	Number of neightbours to return.

Examples

# 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)
# }