How to calculate the sentence similarity using word2vec model of gensim with python

Question

According to the Gensim Word2Vec, I can use the word2vec model in gensim package to calculate the similarity between 2 words.

e.g.

trained_model.simi         


        

Answer 1

There is a function from the documentation taking a list of words and comparing their similarities.

s1 = 'This room is dirty'
s2 = 'dirty and disgusting room' #corrected variable name

distance = model.wv.n_similarity(s1.lower().split(), s2.lower().split())