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  • Journey to Data & AI Workshop
  • Prerequisite
    • IBM Cloud
  • IBM Watson Studio Auto AI
    • Watson Studio Overview
    • Step 1: Watson Service Creation
    • Step 2: Build and train the model
    • Step 3: Deploy the trained model
    • Step 4: Test the deployed model
  • IBM Watson Discovery
    • Discovery Overview
    • Step 1: Create Discovery Service
    • Step 2: Launch the tooling
    • Step 3: Create a collection
    • Step 4: Download the sample document and upload to your collection
    • Step 5: Querying the dataset
  • Links
    • Sample Application: Use the Watson Discovery Service to analyze cyber security breaches
    • Sample data set source
    • Preparing CSV data set to Watson Discovery Service
    • Watson Studio Documentation
    • IBM Cloud Documentation
    • Discovery API documentation
    • IBM Developer
    • Discovery documentation
    • Sample Codes: IBM Developer Code Patterns
    • Free courses: COGNITIVE CLASS.AI
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  1. IBM Watson Discovery

Step 5: Querying the dataset

PreviousStep 4: Download the sample document and upload to your collection

Last updated 5 years ago

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1. Let's try a quick Natural Language Query to level set. Click Build your own query on the lower right.

2. On the Build queries screen, click on Search for documents, then Use natural language. Enter IBM and click the Run query button. Click the JSON tab on the right. The result is not as precise as it could be, so let's improve it with Smart Document Understanding.

Build queries