202511191237 Status: idea Tags: Datascience, NLP

NLP Lemmatization

Lemmatization reduces words to their base form (lemma), considering meaning and POS. Unlike Stemming, it avoids producing non-dictionary words

Why?

• Improves accuracy : Treats words like “running” and “ran” as the same.
• Reduces redundancy : Smaller, cleaner datasets for analysis and ML training.
• Better model performance : Consistent word forms improve context understanding

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References

• Dit is iets wat we leren voor Datascience. dit was informatie vanuit avans 2-2 datascience 2025-11-12. en daarbij horen deze slides
• I was writing a note about NLP which mentions this.