What is lemmatization in natural language processing?
An example of an AI chatbot conversation about lemmatization in NLP.
What is lemmatization in natural language processing?
Lemmatization is the process of reducing a word to its base or root form, known as a lemma.
How does lemmatization differ from stemming?
While stemming cuts off prefixes or suffixes, lemmatization considers the context and converts words to their meaningful base form.
Can you give me an example of lemmatization?
Sure! The word 'running' is lemmatized to 'run', and 'better' is lemmatized to 'good'.
When should I use lemmatization instead of stemming?
Use lemmatization when you need more accurate and meaningful results, especially in applications like search and text analysis.
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