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20 lines
537 B
Python
20 lines
537 B
Python
import gensim.downloader as api
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wv = api.load('word2vec-google-news-300')
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# Affichage de quelques mots du vocabulaire
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# for index, word in enumerate(wv.index_to_key):
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# if index == 10:
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# break
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# print(f"word #{index}/{len(wv.index_to_key)} is {word}")
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print(wv.most_similar(positive=['car'], topn=5))
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print(wv.most_similar(positive=['voiture'], topn=5))
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vec_father = wv['father']
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vec_man = wv['man']
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vec_woman = wv['woman']
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result = wv.most_similar(positive=(vec_father - vec_man + vec_woman), topn=1)
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print(result)
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