Managing complete text analytics models
Quickly and conveniently manage multiple models to accommodate them to ever-changing business requirements, through a wide range of the available types of actions requirements. You can test, update, or delete any completed categorization or text extraction model. You can also add a language to the model or save the model as a different rule instance.
In the navigation pane of Prediction Studio, click Models.
For the model that you want to manage, click the More icon, and then select the action that you want to perform:
Choices Actions Test the performance of your model in real-time text analytics
Click Test.For more information, see Testing text analytics models.
Add a language to the model
Click Add language.You can add new languages to a model when you extend your product offer abroad.
Improve model accuracy by adding feedback and training data, and editing the existing data
Click Update.For more information, see Updating training data for text analytics models.
Specify when you want the system to automatically retrain and deploy the model
Click Model settings.
In the Prediction settings window, turn on the Auto update the model switch.
In the Schedule list, select how you want to schedule the automatic update.
You can retrain your model each time a specific number of feedback items has been collected or after a specified time interval. For more information, see the following Pega Community articles: Feedback loop for text analysis and Update text analytics models instantly through an API.
Save the model as a different instance of the Decision Data rule
Click Save as.For more information, switch your workspace to Dev Studio and access the Dev Studio help system.
Switch between model versions
Click Manage versions.
In the Manage versions window, click the version name, and then click Restore.The system creates a new version of the model that is based on the model version that you select.
Export the model
Click Manage versions.
In the Manage versions window, click Export next to the model version that you want to export.
Delete a model language
Click Delete language.Remove a language when you withdraw your product offer from a chosen country.
Permanently remove obsolete models from Prediction Studio and Dev Studio
Click Delete.If the model has several versions, by clicking Delete you delete the most recent version of the model and the training data associated with the model version.
For more information, see Clearing deleted models in Prediction Studio.
- Testing text analytics models
You can perform ad-hoc testing of text analytics models that you created and analyze their performance in real-time, on real-life data.
- Migrating text analytics models
Increase the accuracy of text analytics models by migrating them across environments. For example, you can export the model from a development system to a production system so that the model can gather feedback data. You can then import the model back to the development system to update the model with the collected feedback data.
- Updating training data for text analytics models
Increase the accuracy of your text analytics models by adding feedback data and providing additional training data.
- Analyzing natural language
Effortlessly analyze and extract meaningful information from large volumes of text with the use of text analytics. Based on your findings, you can further improve business performance and customer experience.
- Creating machine-learning topic detection models
Efficiently connect your customers with the right consultant by providing training data to a topic detection model.
- Determining the emotional tone of text
Sentiment analysis determines whether the opinion that the writer expressed in a piece of text is positive, neutral, or negative. Knowledge about customers' sentiments can be very important because customers often share their opinions, reactions, and attitudes toward products and services in social media or communicate directly through chat channels.