I have a model that is searching for a Product in email. The model is finding the product at a high percentage, it is also recognizing other text as Products though. What is the best way to train the model to not recognize other text as that Product tag?
Hi,
You could try creating a custom entity extraction model removing all default entities by
- Clicking on the wheel
- Then clicking on "Clear all" and apply
Then you will create a new custom entity "MyProduct" and will tag it in the training data set
Let me know if this works for you.
I did this already. The issue is I am getting additional items tagged to my custom entity. Do I just need to add additional example sentences?
Example below:
Products(Value: Fiber) accurate.
Products(Value: 7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0)Products(Value: lR9JZbxFLAxGMSOtgtIs6AgMtNF9rHpBPBpNwAXdpx8) Not accurate