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-tutorials/blob/main/6_stemming_lematization/6_stemming_lematization.ipynb
Exercise: https://github.com/codebasics/nlp-tutorials/blob/main/6_stemming_lematization/stemming_and_lemmatization_exercise.ipynb
Complete NLP Playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
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