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Learn how to create custom Named Entity Recognition (NER) models using Python, spaCy, and an open-source NER Annotator tool. This 29-minute tutorial guides you through the process of annotating text with custom entities, tags, and labels using the NER Annotator by tecoholic. Then, use the annotated data to train an English Natural Language Processing (NLP) model with spaCy, enabling it to recognize custom entities in new text. Gain hands-on experience with practical NLP techniques and tools, including the NER Annotator and spaCy library, to enhance your text analysis capabilities.
