Stemming and lemmatization are two popular techniques to reduce a given word to its base word. Stemming uses a fixed set of rules to remove suffixes, and prefixes whereas lemmatization use language knowledge to come up with a correct base word. Stemming will be demonstrated in ntlk (spacy doesn't support stemming) whereas code for lemmatization is written in spacy
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Code: github.com/codebasics/nlp-tut...
Exercise: github.com/codebasics/nlp-tut...
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