Word2vec Made Easy

This post is a simplified yet in-depth guide to word2vec. In this article, we will implement word2vec model from scratch and see how embedding help to find similar/dissimilar words. Word2Vec is the foundation of NLP( Natural Language Processing). Tomas Mikolov and the team of researchers developed the technique in 2013 at Google. Their approach first published in the paper'Efficient Estimation of Word Representations in Vector Space'.