Word2Vec
Question
What are the different methods to implement Word2Vec and which one is better?
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Machine Learning
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Answer ( 1 )
Word2Vec is a method to construct such an embedding. It can be obtained using two methods (both involving Neural Networks): Skip Gram and Common Bag Of Words (CBOW). Skip Gram works well with a small amount of data and is found to represent rare words well. On the other hand, CBOW is faster and has better representations for more frequent words.