otthorn/TP_WordEmbedding
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higepi 2022-10-04 19:16:08 +02:00
parent 3d06ffd314
commit b6028c55bd
2 changed files with 2 additions and 1 deletions
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Word_embedding.docx
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wordvec.py
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@ -16,3 +16,4 @@ vec_woman = wv['woman']
result = wv.most_similar(positive=(vec_father - vec_man + vec_woman), topn=1) result = wv.most_similar(positive=(vec_father - vec_man + vec_woman), topn=1)
print(result) print(result)