Word2Vecにおけるマイナスの概念について
Word2Vecsimilarity
meow-0.018
100
meowsize
##
# sourcecode
from gensim.models import Word2Vec
sentences = [["cat", "say", "meow"],["dog","say","woof"]]
model = word2vec.Word2Vec(sentences, min_count=1,size=100)
print(model.wv.most_similar(positive=['cat']))
# output
[('woof', 0.12968875467777252),
('say', 0.06406527757644653),
('dog', 0.05123840644955635),
('meow', -0.01819145306944847)]
##
Example
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