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language_sentiment_analysis_create_dataset.js
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language_sentiment_analysis_create_dataset.js
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// Copyright 2019 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
'use strict';
function main(
projectId = 'YOUR_PROJECT_ID',
location = 'us-central1',
displayName = 'YOUR_DISPLAY_NAME'
) {
// [START automl_language_sentiment_analysis_create_dataset]
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'us-central1';
// const displayName = 'YOUR_DISPLAY_NAME';
// Imports the Google Cloud AutoML library
const {AutoMlClient} = require('@google-cloud/automl').v1;
// Instantiates a client
const client = new AutoMlClient();
async function createDataset() {
// Construct request
const request = {
parent: client.locationPath(projectId, location),
dataset: {
displayName: displayName,
textSentimentDatasetMetadata: {
sentimentMax: 4, // Possible max sentiment score: 1-10
},
},
};
// Create dataset
const [operation] = await client.createDataset(request);
// Wait for operation to complete.
const [response] = await operation.promise();
console.log(`Dataset name: ${response.name}`);
console.log(`
Dataset id: ${
response.name
.split('/')
[response.name.split('/').length - 1].split('\n')[0]
}`);
}
createDataset();
// [END automl_language_sentiment_analysis_create_dataset]
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));