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In this video, we explain the complete NLP text preprocessing pipeline step by step.
Learn why lowercasing, cleaning, stopword removal, and stemming are essential in Natural Language Processing.
Perfect for beginners in NLP, Machine Learning, and AI.
Code: https://github.com/611noorsaeed/NLP-Advance-Course
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AI With Noor (Urdu/Hindi/English) https://youtube.com/@611aiwithnoor?si=u6bbtkO1-Fb0-5ym
This is a complete NLP course — no playlist needed. Watch in order and practice along with Python examples 🚀
https://www.youtube.com/playlist?list=PLdF3rLdF4ICSNencLQBvb_MQmJYkLuWsc
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Timestamps:
00:00 – Introduction
01:00 – When to Apply Text Cleaning Steps
02:53 – Text Preprocessing Overview
04:26 – Lowercasing
05:36 – Removing Everything Except Characters and Digits
06:30 – Tokenization (Text Splitting)
07:11 – Stopword Removal
08:07 – Stemming and Lemmatization
09:17 -- Code Implementation
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