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Setting up a machine-learning topic detection model

Updated on March 11, 2021

Start the build process of a keyword-based topic detection model by specifying the model name, language, and corresponding ruleset.

  1. In the navigation pane of Prediction Studio, click Models.
  2. In the header of the Models work area, click NewText categorization.
  3. In the New text categorization model window, set up the new model:
    1. In the Name field, enter a name for the topic detection model.
    2. In the Language list, select a language for the model to use.
      For more information, see Language support for NLP.
    3. In the What do you want to detect? section, click Topics, and then select the Use machine learning check box.
    4. In the Save model section, specify the class in which you want to save the model, and then specify its ruleset or branch.
    5. Open the model creation wizard by clicking Start.
What to do next: Define the taxonomy that you want to use for topic detection. For more information, see Defining a taxonomy for machine learning topic detection.
  • Previous topic Creating machine-learning topic detection models
  • Next topic Defining a taxonomy for machine learning topic detection

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