I have documents, and I calculated the word vectors using word2vec for all the terms in my corpus.
Now I want to compute similarity between documents using the bag-of-words model. After creating the Bag-of-words ( consisting of vector representations).
how do I now compute similarity between a sequence of vectors?
Do I simply just take the mean? and calculate the cosine similarity between the mean vectors?
or is there a better approach for computing similarity between two bags?