![]() ![]() Therefore, I would like to introduce another library called HMNI which can help us check the phonetic similarity between inputs but first let me build a sample dataset for a more proper test. It would also make sense to know the phonetic and semantic difference before return the most similar name matches. ![]() This means that the evaluation metric within the FuzzyWuzzy can be very good at performing fuzzy search for the misspelled words and capturing the longest common subsequence between inputs.īut for some cases, for instance, the abbreviation of brand names, only knowing the difference on a character-level is probably not enough. ![]() Essentially it uses Levenshtein Distance to calculate the difference / distance between sequences.Īccording to the Wikipedia, the Levenshtein distance is a metric of evaluating the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other. FuzzyWuzzy is a great python library can be used to complete a fuzzy search job. ![]()
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