The business learns NLP (Part 3): Word embeddings, or, how to represent words as vectors

Mireille Bobbert
2 min readJul 15, 2020

It’s time for a new lesson on NLP! Last week during part 2 of deeplearning.ai’s specialization on NLP we learned how to perform Twitter sentiment analysis with Naive Bayes, this week we learn more on word embeddings. Key takeaway: if you capture the meaning of a word in numbers, a whole new world opens up…;-)! Enjoy!

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