In this workshop you will learn to annotate and prepare text data to train a custom NER model with spaCy. The provided dataset is too small to have good results, however the same approach can be implemented on a larger dataset. The pre-defined entity types (classes or categories) are: PERSON and LOC.
flowchart LR
A[Prepare and Annotate data] --> B[Prepare NER pipeline]
B --> C[Train NER model]
C --> D[Evaluate model]
D --> E[Test the model]