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gensim is the python library for topic modelling. multi-dimensional vector representation of words or sentences which preserves semantic meaning is computed through word2vec and doc2vec models.

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How to retrive the results saved in model of gensim?

For that I used the following formula in gensim: model.most_similar([word]) model.save('text.txt') I want to save the result of cosine-similarity of each words with respective to other words in such … But don't know how to retrieve the results which are saved using gensim model ? …
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