word2vec sim
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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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