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 NLP platform: https://www.firstlanguage.in/ Code: https://github.com/codebasics/nlp-tut... Exercise: https://github.com/codebasics/nlp-tut... Complete NLP Playlist: • NLP Tutorial Python 🔖Hashtags🔖 #nlp #nlptutorial #nlppython #spacytutorial #spacytutorialnlp #nlptutorialpython #naturallanguageprocessingstemming #nlpstemming #nlpstemmingtutorial #stemming #lemmatization