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Choose Between TF-IDF and Embeddings

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Problem

Scenario

You are working on an NLP classification problem where the text representation is the main design choice. Your team is deciding whether to use TF-IDF features or word embeddings before training a downstream model.

Question

How would you choose between TF-IDF and word embeddings?