In gensim's word2vec python, I want to get the list of cosine similarity for "price".
I read the document of gensim word2vec, but document it describes most_similar
and n_similarity
function)()
I want the whole list of similarity between price and all others.
If you call wv.most_similar('price', topn=len(wv))
, with a topn
argument of the full vocabulary count of your model, you'll get back a ranked list of every word's similarity to 'price'
.
If you call with topn=0
, you'll get the raw similarities with all model words, unsorted (in the order the words appear inside wv.index2entity
).
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