Word2Vec is a technique to get a good quality word embedding from a corpus. CBOW and Skip-gram are the two well known word2vec models.
In natural language processing, word embedding is a term used to represent words for text analysis,
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In this article, we will learn about what CBOW is, the model architecture and the implementation of a CBOW model on a custom dataset.
The post The Continuous Bag Of Words (CBOW) Model in NLP – Hands-On Implementation With Codes appeared first on Analytics India Magazine.