🚀 Natural Language Understanding Sample Application
This Node.js app demonstrates some of the Natural Language Understanding service features.
Natural Language Understanding is a collection of APIs that offer text analysis through natural language processing. This set of APIs can analyze text to help you understand its concepts, entities, keywords, sentiment, and more. Additionally, you can create a custom model for some APIs to get specific results that are tailored to your domain.
- Sign up for an IBM Cloud account.
- Download the IBM Cloud CLI.
- Create an instance of the Natural Language Understanding service and get your credentials:
- Go to the Natural Language Understanding page in the IBM Cloud Catalog.
- Log in to your IBM Cloud account.
- Click Create.
- Click Show to view the service credentials.
- Copy the
- Copy the
Configuring the application
In the application folder, copy the .env.example file and create a file called .env
cp .env.example .env
Open the .env file and add the service credentials that you obtained in the previous step.
Example .env file that configures the
urlfor a Natural Language Understanding service instance hosted in the US East region:
Install the dependencies
Run the application
View the application in a browser at
Deploying to IBM Cloud as a Cloud Foundry Application
Login to IBM Cloud with the IBM Cloud CLI
Target a Cloud Foundry organization and space.
ibmcloud target --cf
Edit the manifest.yml file. Change the name field to something unique.
- name: my-app-name.
Deploy the application
ibmcloud app push
View the application online at the app URL.
For example: https://my-app-name.mybluemix.net
. ├── app.js // express routes ├── config // express configuration │ ├── express.js │ └── security.js ├── manifest.yml ├── package.json ├── public // static resources ├── server.js // entry point ├── test // tests └── views // react components
This sample code is licensed under Apache 2.0.
Full license text is available in LICENSE.
Open Source @ IBM
Find more open source projects on the IBM Github Page.