How to train Text analyzer with Extraction model?

I’m having a requirement to read a paragraph from a input and extract values from it. I’m setting in the input value in a activity. Next step I am calling the Text analyzer using Call pxRunTextAnalyzer. And it is working only for given training data, if I enter a completely different data which is not in training set, it is not bringing any value. How to train the Extraction model? Even If I enter different paragraph with same entities it should detect. If anyone knows solution, kindly help.

@KishoreR7037 To train the Extraction model, you need to add training records with sample entities to detect, and then rebuild the text analytics model. This will improve the text analysis for the system. You can perform ad-hoc testing of text analytics models that you created and analyze their performance in real-time, on real-life data. For testing purposes, Pega Platform™ creates a temporary Text Analyzer rule that contains the model that is the test subject. Testing text analytics models helps to ensure that the models are ready for deployment in the production environment.

:warning: This is a GenAI-powered tool. All generated answers require validation against the provided references.

Best practices for creating entity extraction models

Configuring text extraction analysis

Testing text analytics models

Exploring text predictions and text analyzers > Text analytics model { .section}

@IvarS334 please can you verify and respond to the question?

@KishoreR7037

Use machine learning to read the paragraph.

Machinelearning.docx (139 KB)

@KishoreR7037

Please open the training model from the Prediction Studio, download the template, add more training data to train your model, and upload it again in Prediction Studio. Attached screenshots are provided for your reference.