Obtaining frequently occurring phrases using Word2Vec I'm rather new to Word2Vec, having started working on it about a week ago.
My question is this: Is there a way to obtain frequently occurring phrases in a large document using Word2Vec along with a score to denote the 'frequency'?
You may use gensim phrase vectorizer module available in Python.
You need to give threshold value which is some sort of pmi of words. The higher this value less are the number of phrases the default is 10. You can play around with this value to get results for your data.

phrase_threshold = 1
bigram = Phrases(sentences,threshold=phrase_threshold)

This is based on this based on the skipgram paper by Tomas Mikolov.