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Setting up a machine learning topic detection model

Updated on May 17, 2024

Start building a topic detection model based on machine learning 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: Upload sample records to train the model and to test whether the model assigns the topics correctly. For more information, see Uploading data for training and testing of the topic detection model.
  • Previous topic Creating machine learning topic detection models
  • Next topic Uploading data for training and testing of the topic detection model

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