In this video, we’ll *implement a basic Natural Language Processing (NLP) pipeline* using Python. If you've been learning the theory behind NLP, now it's time to get practical and see how it works in real applications!
✅ What You’ll Learn:
Text preprocessing (lowercasing, removing punctuation, stop words)
Tokenization
Stemming and Lemmatization
Vectorization (Bag of Words / TF-IDF)
Text classification basics (optional)
📌 Tools & Libraries Used:
Python
NLTK (Natural Language Toolkit)
Scikit-learn
Pandas (for handling sample data)
🎯 This video is part of the *Neural Network* playlist and a practical continuation of our NLP introduction. Perfect for beginners and anyone who wants to build an NLP system from scratch using real code.
https://drive.google.com/file/d/1cLDV...
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