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Exercise: Customizing spaCy Models

Explore customizing spaCy NER models by preparing training data, adding new entity labels, and training the model to recognize fruit names. Learn to build and test a Python script that handles training, applies the model, and manages errors.

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Problem:

You are tasked with building a named entity recognition (NER) model that can recognize fruit names in text. Using the spaCy library, write a Python script that trains a new NER component to ...