Word Embeddings Versus Bag-of-Words: The Curious Case of Recommender Systems

Josh Barua
The Startup
Published in
7 min readAug 4, 2020

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Are word embeddings always the best choice?

If you can challenge a well-accepted view in data science with data, that’s pretty cool, right? After all, “in data we trust”, or so we profess! Word embeddings have caused a revolution in the world of natural language processing, as a result of which we are much…

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Josh Barua
The Startup

Sophomore, UC Berkeley. Interested in applications of NLP, ML & Linguistics. Writer for The Startup, DDI, Towards Data Science & Towards AI.