How to Train spaCy to Autodetect New Entities (NER) [Complete Guide]

Named-entity recognition (NER) is the process of automatically identifying the entities discussed in a text and classifying them into pre-defined categories such as'person', 'organization', 'location' and so on. The spaCy library allows you to train NER models by both updating an existing spacy model to suit the specific context of your text documents and also to train a fresh NER model from scratch. This article explains both the methods clearly in detail. It is widely used because of its flexible and advanced features. Before diving into NER is implemented in spaCy, let's quickly understand what a Named Entity Recognizer is.