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word2vec is a two layer neural network to process text. It takes words as an input and outputs a vector correspondingly. It uses a combination of Continuous Bag of Word and skipgram model implementation.
2
votes
How does Phrases in Gensim work?
As the gensim tool cites the very famous paper by Mikolov - "Distributed Representations of Words and Phrases..." using which it is implemented. In the paper if you look at the section "4 Learning Phr …
1
vote
Identify social users using graph embeddings
This question can have many ways to answer but here is what I think:
Lets assume the example of very common, facebook.
Very naive sense
Number of friends is equal to the 'social-ness' of the pers …