Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, times, quantities, monetary values, percentages, etc. It is commonly used in natural language processing for tasks like content classification, customer service, and improving search engine accuracy.
This tech insight summary was produced by Sumble. We provide rich account intelligence data.
On our web app, we make a lot of our data available for browsing at no cost.
We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.