Taza Mind

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Natural Language Processing (NLP) with NLTK and spaCy

NLP = A branch of AI that helps computers understand, process, and analyze human language (like English, Urdu, etc.).

We’ll use:

  • NLTK (Natural Language Toolkit) → Classic Python library for NLP research and education.
  • spaCy → Modern, production-ready NLP library that is faster and easier for real application

Summary in Simple Terms

  • Tokenization: Breaking text into words/sentences (like cutting a cake into slices).
  • POS Tagging: Identifying if each word is noun, verb, adjective, etc.
  • NER: Detecting names, places, money, etc. in text.
  • Dependency Parsing: Understanding relationships (who did what).

👉 NLTK = Good for learning basics, slower, more academic.
👉 spaCy = Faster, modern, good for real-world apps.

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