Word2vec is considered one of the biggest breakthroughs in the development of natural language processing. The reason behind this is because it is easy to understand and use. Word2vec is basically a word embedding technique that is used to convert the words in the dataset to vectors so that the machine understands. Each unique word in your data is assigned to a vector and these vectors vary in dimensions depending on the length of the word.

Read more: https://analyticsindiamag.com/the-continuous-bag-of-words-cbow-model-in-nlp-hands-on-implementation-with-codes/

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