A Skip-Gram Word2Vec model does the opposite, guessing context in the term. In follow, a CBOW Word2Vec model requires a large amount of samples of the next framework to teach it: the inputs are n text in advance of and/or after the term, which can be the output. We can see the context issue remains to be intact.The roots of language modeling could