Sentiment and Emotion Tracker using Natural Language Understanding
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.
You need a Bluemix account. If you don't have one, sign up.
Download and install the Cloud-foundry CLI tool if you haven't already.
manifest.ymlfile and change
<application-name>to something unique. The name you use determines the URL of your application. For example,
applications: - services: - my-nlu-service name: <application-name> command: npm start path: . memory: 512M
- Connect to Bluemix with the command line tool.
cf api https://api.ng.bluemix.net cf login
- 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
- Create a
.envfile in the root directory by copying the sample
.env.examplefile using the following command:
cp .env.example .env
You will update the
.env with the information you retrieved in steps 5.
.env file will look something like the following:
- Install the dependencies you application need:
- Start the application locally:
Point your browser to http://localhost:3000.
Optional: Push the application to Bluemix:
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.
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.
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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