Use Word Embeddings in Text Analytics

HardNLP00:00

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Problem

Scenario

You are working on a text analytics project and need a way to represent words and documents numerically so similar language patterns are captured better than with simple bag of words features. You are considering word embeddings as the core text representation for downstream analysis.

Question

How would you use word embeddings in a text analytics project?

What This Tests

Tokenization and preprocessing choices
Using word embeddings as features
Applying embeddings to text classification
Evaluating performance with F1 score