Understanding custom entities extraction with Amazon Comprehend

Sometimes, our key business terms don’t fall under the category of pre-defined entities. In those cases, we can train our custom entity recognizer to get insights from our document. Amazon Comprehend’s custom entity recognition allows you to bring in your own dataset (a list of documents) and train a custom model to extract custom entities from your documents. This is a two-step process:

1. Train an entity recognizer by providing a small, labeled dataset. This entity recognizer uses automated ML (AutoML) and transfer learning to train a model based on your training dataset. It also offers evaluation/performance metrics, such as F1 score, precision, and recall. You can start training an Amazon Comprehend custom entity recognizer with single-digit sample documents. I recommend that you check the performance metrics of the trained model and include additional training samples to improve them. Also, you...