How to use word2vec to calculate the similarity distance by giving 2 words?

Question

Word2vec is a open source tool to calculate the words distance provided by Google. It can be used by inputting a word and output the ranked word lists according to the simil

Answer 1

gensim has a Python implementation of Word2Vec which provides an in-built utility for finding similarity between two words given as input by the user. You can refer to the following:

1. Intro: http://radimrehurek.com/gensim/models/word2vec.html
2. Tutorial: http://radimrehurek.com/2014/02/word2vec-tutorial/

The syntax in Python for finding similarity between two words goes like this:

>> from gensim.models import Word2Vec
>> model = Word2Vec.load(path/to/your/model)
>> model.similarity('france', 'spain')