A. Fuzzy matching and stemming are both techniques used in natural language processing, but they serve different purposes. Fuzzy matching allows for variations in spelling, punctuation, and spacing in the text data, while stemming is used to reduce words to their root or base form. Fuzzy matching is useful for matching similar or partially matching patterns, while stemming is useful for grouping words with the same root or meaning.