Skills application
Instruction and application
In ProgressUsing SpaCy for NER practical exercise
In this activity, you will extend the live demo by adding new patterns or improving the NER pipeline for more specialised entity recognition.
These skills help automate document processing, customer feedback analysis and industry-specific data extraction, making AI-driven text analysis more relevant and efficient for business applications.
Activity instructions
Work on the challenges
Follow the instructions in the Jupyter Notebook to work on the challenges. You are free to solve one or more challenges. Use the provided resources to refine and extend the custom NER pipeline.
Collaborate in the breakout room
Discuss and share insights with fellow apprentices as you work on the activity challenges. While the activity is designed for individual completion, feel free to ask questions, collaborate and compare approaches with your group.
Regroup and share
Return to the main session after 20 minutes to discuss key takeaways and insights from the exercise.