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Creating data sets

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You can create a data set for storing data that is important for the business use case that you want to solve. To accommodate various use cases, you can create multiple types of data sets, for example, a Monte Carlo data set that simulates customer records, a social media data set for extracting Facebook posts and so on.

  1. In the navigation pane of Prediction Studio, click Data Data sets .

  2. Click New.

  3. In the New data set window, specify the following parameters:

    • Name – The name of the new data set, for example, Facebook comments.
    • Type – The type of the data set, for example, Facebook.
    • Apply to – The application class of the data set, for example, Data-Social-Facebook.
  4. Click Create.

  5. Specify options and parameters that are required to configure the dataset type of your choice.

  • Creating summaries

    You can create an Interaction History summary data set that is based on your input criteria. For example, you can create a summary of all Interaction History records for a customer that shows all accepted offers within the last 30 days. You can use Interaction History summaries to filter out irrelevant offers (for example, do not display this advertisement to a specific customer if that customer has already viewed it within this month).

  • Accessing text analytics resources

    View and manage the resources that you created or uploaded in the process of building a machine-learning model for text analytics, such as taxonomies for topic detection and sentiment lexicons for sentiment analysis and intent detection.

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