From Chaos to Clarity: The Journey of Text Cleaning in NLP (Part 2)
From Chaos to Clarity: The Journey of Text Cleaning in NLP (Part 2) We’ve already taken our first steps in cleaning messy text—lowercasing, tokenization, punctuation removal, and filtering stopwords. Now, let’s dig deeper and refine our text even more with techniques that help AI truly understand meaning and structure. Just as a librarian doesn’t just organize books but also ensures they have correct titles and summaries, we must refine our text further for **optimal machine understanding. 6 Stemming: Reducing Words to Their Root Form

From Chaos to Clarity: The Journey of Text Cleaning in NLP (Part 2)
We’ve already taken our first steps in cleaning messy text—lowercasing, tokenization, punctuation removal, and filtering stopwords. Now, let’s dig deeper and refine our text even more with techniques that help AI truly understand meaning and structure.
Just as a librarian doesn’t just organize books but also ensures they have correct titles and summaries, we must refine our text further for **optimal machine understanding.
6 Stemming: Reducing Words to Their Root Form