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: