Let’s break down Stemming and Lemmatization in NLP in just 60 seconds! 🕒

n this 1-minute video, we break down two essential techniques in Natural Language Processing (NLP): Stemming and Lemmatization! Learn how these methods simplify words and when to use each for better NLP model performance. 🚀

Stemming: Quick but can produce non-meaningful words.
Lemmatization: Slower but ensures valid, meaningful output.
Understanding when and how to use these techniques will help you make smarter decisions in your NLP projects.

💬 Which one do you prefer? Let me know in the comments below!

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