34. Explain Stemming and Lemmatization in NLP.

• Stemming algorithms operate by removing the end of the beginning of the word, considering account a list of common prefixes and suffixes that can be found in an inflected word. This random cutting can be successful on some occasions, but not always.
• Lemmatization can be considered as the morphological analysis of the words. For this, it is important to have detailed dictionaries which the algorithm can view through to link the form back to its lemma.