Sentiment and Emotion Tracker using Natural Language Understanding

DEPRECATED: this repo is no longer actively maintained. It can still be used as reference, but may contain outdated or unpatched code.

Sentiment and Emotion application detect sentiment and emotions from people's digital footprints (e.g., online reviews and social media text) with IBM Waston Technology. The application can reveal the overall emotion and sentiment patterns from a text of interest, including the changes and details of positive or negative sentiment and emotions of "anger", "disgust", "sadness", "fear" and "joy".

Give it a try! Click the button below to fork into IBM DevOps Services and deploy your own copy of this application on Bluemix.

Getting started

1. You need a Bluemix account. If you don't have one, sign up.

2. Download and install the Cloud-foundry CLI tool if you haven't already.

3. Edit the manifest.yml file and change <application-name> to something unique. The name you use determines the URL of your application. For example, <application-name>.mybluemix.net.

applications:
- services:
  - my-nlu-service
  name: <application-name>
  command: npm start
  path: .
  memory: 512M

4. Connect to Bluemix with the command line tool.

cf api https://api.ng.bluemix.net
cf login

5. Create and retrieve service keys to access the Natural Language Understanding service:

cf create-service natural-language-understanding free my-nlu-service
cf create-service-key my-nlu-service myKey
cf service-key my-nlu-service myKey

6. Create a .env file in the root directory by copying the sample .env.example file using the following command:

cp .env.example .env

You will update the .env with the information you retrieved in steps 5.

The .env file will look something like the following:

NATURAL_LANGUAGE_UNDERSTANDING_USERNAME=<username>
NATURAL_LANGUAGE_UNDERSTANDING_PASSWORD=<password>

7. Install the dependencies you application need:

npm install

8. Start the application locally:

npm start

9. Point your browser to http://localhost:3000.

10. Optional: Push the application to Bluemix:

cf push

After completing the steps above, you are ready to test your application. Start a browser and enter the URL of your application.

        <your application name>.mybluemix.net

For more details about developing applications that use Watson Developer Cloud services in Bluemix, see Getting started with Watson Developer Cloud and Bluemix.

Troubleshooting

• The main source of troubleshooting and recovery information is the Bluemix log. To view the log, run the following command:

  cf logs <application-name> --recent

• For more details about the service, see the [documentation][docs] for the Speech to Text service.

License

This sample code is licensed under Apache 2.0. Full license text is available in LICENSE. This sample code uses d3 and jQuery, both distributed under MIT license.

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