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Created January 30, 2018 10:22
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Word2Vec Emotions
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gistfile1.txt
import gensim
from gensim.models.keyedvectors import KeyedVectors
# Load Google's pre-trained Word2Vec model.
model = KeyedVectors.load_word2vec_format('I:/Downloads/GoogleNews-vectors-negative300.bin/GoogleNews-vectors-negative300.bin', binary=True)
word1 = 'anger'
word2 = 'trust'
model.most_similar(positive = [word1, word2])
word_w2v = 'resentment'
plutchik = 'dominance'
model.wv.similarity(word_w2v,plutchik)
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