word2vec sim

wordvec.py

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