How Word2Vec work?

@premsheth wrote:

Hi Friends,

I am trying to understand mechanism of Word2Vec for word embedding. I gone through from following links:
https://www.analyticsvidhya.com/blog/2017/06/word-embeddings-count-word2veec/

https://machinelearningmastery.com/develop-word-embeddings-python-gensim/

But Not clear idea behind Word2Vec or how its work.

I understand Follow steps:

1. It will take sentence and split in to words.
2. It will make vocabulary of all those words
3. But when I see do model['word in vocabulary'] it gives numerical vector.
   Questions:
   1) What is Vector representation?
   2) What is each numerical value represent?

I am confuse about it.

Please if anyone have tutorial or any link from which I can understand better It will be helpful for me.

Thank you so much in advance

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