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Creating machine-learning topic detection models

Updated on March 11, 2021

Efficiently connect your customers with the right consultant by providing training data to a topic detection model.

The machine learning topic detection model teaches itself based on training data provided to it, and then starts analyzing text on its own. The training data contains sample messages from customers with an assigned topic category. For example, the model assigns the message I want to book a ticket from New York to Warsaw to the Booking a flight category.

If you do not have enough training data for the machine learning model to start operating efficiently, consider creating a keyword-based topic detection model as a temporary substitute. For more information about the differences between topic detection model types, see Comparing keyword-based and machine-learning topic detection.

Before you begin:
To create a topic detection model based on machine learning, perform the following procedures:
  • Previous topic Importing a taxonomy for keyword-based topic detection
  • Next topic Setting up a machine-learning topic detection model

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