Custom entity extraction, also known as custom Named Entity Recognition (NER), is an NLP technique to identify and classify specific entities in text. Unlike traditional NER, it creates personalized models for unique entities, like product names or industry-specific terms, improving accuracy and applicability by leveraging machine learning and annotated data.
Custom Entity Extractors are an expanding market that counts many providers offering those services, but their performance may vary from one provider to another depending on your files. They also have different costs and processing times: it is in your best interest to test a variation of them before choosing the right one.
By aggregating several Custom NER providers on a single API, Eden AI allows you to use different engines at the same time depending on the type of file you wish to analyze.