How can NLP assist in automating the process of entity extraction from text data?
Natural Language Processing (NLP) can automate entity extraction from text data by utilizing algorithms to identify and extract specific entities such as names, dates, and locations from unstructured text. NLP techniques like Named Entity Recognition (NER) and Part-of-Speech (POS) tagging can help categorize and extract entities efficiently.
March 18, 2024