PolyFuzz — Advanced Fuzzy Matching Framework

Alternative to fuzzy matching techniques for NLP to enhancing performance Working with natural language processing we might faced a lot of scenario to use various string matching techniques. Mostly we use fuzzy matching techniques to find the closes match of a string from a database or in some other cases we use them to understand the typo errors, mistranslations etc. Other than using fuzzy libraries for string matching use case we often use edit distance method, levenshtein distance method, TF-IDF character based n-gram method, word embedding method to understand the meaning and to match between words of strings. Let’s move…...