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Gensim's Word2vec: Hands-On

Explore how to build an NLP engine using Gensim's Word2Vec to measure similarity between words. Learn to work with pre-trained word vectors, apply cosine similarity, and understand the role of transfer learning in NLP projects.

Introduction to the project

In this mini project, we are going to build an NLP engine that will show the similarity between the two given words.

For this, we are going to use Gensim’s word2vec model. Gensim provides an optimum implementation of word2vec's CBOW model and Skip-Gram model, which we discussed in the previous lesson.

Similarity between two words

Before moving on you need to download the word2vec vectors. Click here to ...