Raw text correction with Fuzzy Matching for NLP tasks

Learn how to fix misspelled words to better identify essential text expressions

Natural Language Processing (NLP) is being used today in many ML tasks and projects in healthcare, finance, marketing and more. Data Scientists often struggle to clean and analyze text data in order to retrieve insight. For most NLP tasks it is common to use techniques such as tokenization, stemming, lemmatization etc.

However, in some cases there is a need to keep the …

fuzzy-matching nlp regex text