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@ibm-watson/natural-language-understanding-nodejs
Advanced tools
A sample Node.js app for IBM Cloud that use the IBM Watson Natural Language Understanding service
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.
apikey
value.url
value.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 apikey
and url
for a Natural Language Understanding service instance hosted in the US East region:
NATURAL_LANGUAGE_UNDERSTANDING_IAM_APIKEY=X4rbi8vwZmKpXfowaS3GAsA7vdy17Qh7km5D6EzKLHL2
NATURAL_LANGUAGE_UNDERSTANDING_URL=https://gateway-wdc.watsonplatform.net/natural-language-understanding/api
Install the dependencies
npm install
Run the application
npm start
View the application in a browser at localhost:3000
Login to IBM Cloud with the IBM Cloud CLI
ibmcloud login
Target a Cloud Foundry organization and space.
ibmcloud target --cf
Edit the manifest.yml file. Change the name field to something unique.
For example, - 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.
See CONTRIBUTING.
Find more open source projects on the IBM Github Page.
FAQs
A sample Node.js app for IBM Cloud that use the IBM Watson Natural Language Understanding service
We found that @ibm-watson/natural-language-understanding-nodejs demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 7 open source maintainers collaborating on the project.
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