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Approach an NLP Classification Project

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Problem

Scenario

You are starting an NLP project where you need to turn raw text into a useful model for a product or internal workflow. You need a practical plan that covers how you define the task, prepare text data, choose representations, train a model, and measure whether it is working.

Question

How would you approach a project involving natural language processing?

What This Tests

  • How you frame an NLP problem as a concrete task
  • How you handle tokenization and text preprocessing
  • How you use TF-IDF as a baseline for text classification
  • How you choose evaluation metrics such as macro F1