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Approach NER or Topic Modeling

HardNLP00:00
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00:00

Your question is Approach NER or Topic Modeling. Take a moment with it on the right.

Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).

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Problem

Scenario

You are working on an NLP system that needs to extract structure from unstructured text or discover themes in a document collection. Depending on the use case, you may need a supervised sequence labeling approach or an unsupervised topic discovery workflow.

Question

How do you approach named entity recognition or topic modeling?

What This Tests

  • Choosing between supervised NER and unsupervised topic modeling
  • Tokenization choices for domain-specific text
  • Practical preprocessing and model selection
  • Task-appropriate evaluation, especially F1 for NER