Exploring NLP Fuzzy Matching Algorithms

Presented by WWCode Data Science
Speaker: Madhurima Nath

Fuzzy matching algorithms are used to identify non-matched target items, i.e., it will find matches even when users have entered only partial words or misspelled words. It is used for spell-checks and can be used for de-duplication of records. Most commonly used algorithms for approximate string matching are Levenshtein distance algorithm, Bitmap algorithm, Damerau-Levenshtein distance algorithm, n-gram.

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[SunilPatel-sfng]

Can you share the link to the notebook. Thanks a lot for the great presentation.