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Setting up a keyword-based topic detection model

Suggest edit Updated on April 5, 2022

Create a keyword-based topic detection model by specifying the model name, language, and corresponding ruleset. After you create the model, complete the model configuration by defining a taxonomy of topics and keywords.

  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, perform the following actions:
    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 category keywords check box.
    4. In the Save taxonomy section, specify the class in which you want to save the model, and then specify its ruleset or branch.
    5. Click Create.
What to do next: Complete the model configuration by either creating a taxonomy in Prediction Studio, or by importing a file with an existing taxonomy. For more information, see Creating a taxonomy for keyword-based topic detection or Importing a taxonomy for keyword-based topic detection.
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