Custom NER with spaCy v3 Tutorial - Named Entity Recognition Tutorial

Learn how to build a custom Named Entity Recognition (NER) model using spaCy v3 in this Python Applied NLP tutorial. Explore the latest features of spaCy v3, including the Spacy CLI and DocBin for NER training. Discover a free, open-source alternative to Doccano and Prodigy called "NER Annotator for Spacy" for labeling and annotating text data. Follow along with the provided GitHub project, and gain insights into setting up the NER Annotator on your local machine. Dive into the world of custom NER, an essential task in Natural Language Processing, and enhance your skills in data annotation and model training using spaCy's comprehensive documentation.

Custom NER with spaCy v3 Tutorial | Free NER Data Annotation | Named Entity Recognition Tutorial