Introduction to Word2Vec Model
Introduction Word2Vec was developed at Google by Tomas Mikolov, et al. and It uses Neural Network with one hidden layer to learn word embeddings. The beauty with word2vec is that the vectors are learned by understanding the context in which words appear. The result are vectors in which words with similar meaning end up with a similar …