This is the code and challenge for "IBM Watson Discovery" By Siraj Raval on Youtube
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Coding Challenge

This is the coding challenge for this video by Siraj Raval on Youtube on the IBM Watson Discovery service. The challenge is to use Watson Discovery to build a sentiment analysis app. It showed classify some dataset, that could be reviews, tweets, news articles, facial expressions, anything that classifies sentiment in living things. Send a link to your GitHub repository to by December 11, 2018. Top 2 entries get a video shoutout, i'm looking for readable code and good documentation! Below is some sample code.

🔎 Discovery Demo

Use the IBM Watson Discovery service to add a cognitive search and content analytics engine to your applications to identify patterns, trends and actionable insights that drive better decision-making.

Travis semantic-release




  1. Sign up for an IBM Cloud account.
  2. Download the IBM Cloud CLI.
  3. Create an instance of the Discovery service and get your credentials:
    • Go to the Discovery page in the IBM Cloud Catalog.
    • Log in to your IBM Cloud account.
    • Click Create.
    • Click Show to view the service credentials.
    • Copy the apikey value, or copy the username and password values if your service instance doesn't provide an apikey.
    • Copy the url value.

Configuring the application

  1. In the application folder, copy the .env.example file and create a file called .env

    cp .env.example .env
  2. Open the .env file and add the service credentials that you obtained in the previous step.

    Example .env file that configures the apikey and url for a Discovery service instance hosted in the US East region:

    • If your service instance uses username and password credentials, add the DISCOVERY_USERNAME and DISCOVERY_PASSWORD variables to the .env file.

    Example .env file that configures the username, password, and url for a Discovery service instance hosted in the Sydney region:


Running locally

  1. Install the dependencies

    npm install
  2. Build the application

    npm run build
  3. Run the application

    npm start
  4. View the application in a browser at localhost:3000

Deploying to IBM Cloud as a Cloud Foundry Application

  1. Build the application

    npm run build
  2. Login to IBM Cloud with the IBM Cloud CLI

    ibmcloud login
  3. Target a Cloud Foundry organization and space.

    ibmcloud target --cf
  4. Edit the manifest.yml file. Change the name field to something unique. For example, - name: my-app-name.

  5. Deploy the application

    ibmcloud app push
  6. View the application online at the app URL, for example:


Unit tests

Run unit tests with npm run test-unit, then a to run all tests. See the output for more info.

Integration tests

First you have to make sure your code is built: npm run build

Then run integration tests with: npm run test-integration-runner

Directory structure

├── app.js                      // express routes
├── config                      // express configuration
│   ├── error-handler.js
│   ├── express.js
│   └── security.js
├── package.json
├── public                      // static resources
├── server.js                   // entry point
├── test                        // integration tests
└── src                         // react client
    ├── __test__                // unit tests
    └── index.js                // app entry point


This sample code is licensed under the MIT License.



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