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.