Structured data extraction from text has plenty of uses in data analysis and myriad applications, including building predictive machine learning models. Named entity recognition (NER) is a clear example of this: it consists of transforming unstructured, messy text into structured data as a result of identifying, extracting, and categorizing relevant information.
