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Fuzzy matching, also known as approximate string matching, is a technique used to find similarities between two or more strings or pieces of data, even when they are not an exact match. It involves calculating a similarity score or distance metric based on various algorithms and heuristics, such as edit distance, phonetic similarity, or token-based matching. Fuzzy matching is widely used in applications like data deduplication, record linkage, and natural language processing.

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