Deprecated: this repo has been archived and will not receive further updates. It is being left in read-only mode for documentation purposes, but the code should not be considered current.
The IBM Watsonโข Natural Language Classifier service applies deep learning techniques to make predictions about the best predefined classes for short sentences or phrases. The classes can trigger a corresponding action in an application, such as directing a request to a location or person, or answering a question. After training, the service returns information for texts that it hasn't seen before. The response includes the name of the top classes and confidence values.
You can view a demo of this app.
- Sign up for an IBM Cloud account.
- Download the IBM Cloud CLI.
- Create an instance of the Natural Language Classifier service and get your credentials:
- Go to the Natural Language Classifier page in the IBM Cloud Catalog.
- Log in to your IBM Cloud account.
- Click Create.
- Click Show to view the service credentials.
- Copy the
apikeyvalue. - Copy the
urlvalue.
- The Natural Language Classifier service must be trained before you can successfully use this application. The training data is provided in the file
training/weather_data_train.csv.
If you haveusernameandpasswordcredentials, train a classifier by using the following command:
curl -i -u "apikey":"<apikey>" \
-F training_data=@training/weather_data_train.csv \
-F training_metadata="{\"language\":\"en\",\"name\":\"TutorialClassifier\"}" \
"<url>/v1/classifiers"Make sure to replace <apikey> and <url>.
After running the command, copy the value for classifier_id.
-
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
apikeyandurlfor a Natural Language Classifier service instance hosted in the US East region:NATURAL_LANGUAGE_CLASSIFIER_IAM_APIKEY=X4rbi8vwZmKpXfowaS3GAsA7vdy17Qh7km5D6EzKLHL2 NATURAL_LANGUAGE_CLASSIFIER_URL=https://gateway.watsonplatform.net/natural-language-classifier/api -
Add the
CLASSIFIER_IDto the previous propertiesCLASSIFIER_ID=522be-7b41-ab44-dec3-g1eab2ha73c6
-
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
.
โโโ app.js // express routes
โโโ config // express configuration
โย ย โโโ error-handler.js
โย ย โโโ express.js
โย ย โโโ security.js
โโโ manifest.yml
โโโ package.json
โโโ public // static resources
โโโ server.js // entry point
โโโ test // unit tests
โโโ training
โย ย โโโ weather_data_train.csv // training file
โโโ 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.
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