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51. What Is Natural Language Processing (NLP)

51.5 Practice, Tip and Close

Why. Lock the idea: NLP = text → clean → numbers → model, before you code TF-IDF.

How.

Chapter practice

  1. Write three fictional Mauli WhatsApp lines (mix English); clean one with the regex pattern from 51.3.
  2. List two app tasks that need classical NLP vs one that needs an LLM.
  3. Explain bag-of-words in one sentence to a non-coder friend.

Thodkyaat sangaycha tar (quick recap)

  • NLP helps computers read shop/app language
  • Classical NLP ≠ ChatGPT (different lane)
  • Clean → tokens → matrix → classifier
  • Next: TF-IDF vectors in sklearn

Samajla ka? Next: Chapter 52 — Text Cleaning and TF-IDF in Python.